The data show the time intervals after an eruption (to the next eruption) of a certain...
The data show the time intervals after an eruption (to the next eruption) of a certain geyser. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted time of the interval after an eruption given that the current eruption has a height of 144 feet. Use a significance level of 0.05.
|
Height (ft) |
115 |
133 |
137 |
140 |
99 |
112 |
108 |
126 |
|
|---|---|---|---|---|---|---|---|---|---|
|
Interval after (min) |
75 |
85 |
94 |
85 |
66 |
88 |
68 |
82 |
|
Critical Values of the Pearson Correlation Coefficient r |
NOTE: To test
H0: rhoρequals=0 againstH1: rhoρnot equals≠0, rejectH0 if the absolute value of r is greater than the critical value in the table. |
||
|---|---|---|---|
|
n |
alphaαequals=0.05 |
alphaαequals=0.01 |
|
|
4 |
0.950 |
0.990 |
|
|
5 |
0.878 |
0.959 |
|
|
6 |
0.811 |
0.917 |
|
|
7 |
0.754 |
0.875 |
|
|
8 |
0.707 |
0.834 |
|
|
9 |
0.666 |
0.798 |
|
|
10 |
0.632 |
0.765 |
|
|
11 |
0.602 |
0.735 |
|
|
12 |
0.576 |
0.708 |
|
|
13 |
0.553 |
0.684 |
|
|
14 |
0.532 |
0.661 |
|
|
15 |
0.514 |
0.641 |
|
|
16 |
0.497 |
0.623 |
|
|
17 |
0.482 |
0.606 |
|
|
18 |
0.468 |
0.590 |
|
|
19 |
0.456 |
0.575 |
|
|
20 |
0.444 |
0.561 |
|
|
25 |
0.396 |
0.505 |
|
|
30 |
0.361 |
0.463 |
|
|
35 |
0.335 |
0.430 |
|
|
40 |
0.312 |
0.402 |
|
|
45 |
0.294 |
0.378 |
|
|
50 |
0.279 |
0.361 |
|
|
60 |
0.254 |
0.330 |
|
|
70 |
0.236 |
0.305 |
|
|
80 |
0.220 |
0.286 |
|
|
90 |
0.207 |
0.269 |
|
|
100 |
0.196 |
0.256 |
|
PrintDone
What is the regression equation?
Homework Answers
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The data show the time intervals after an eruption (to the
next eruption) of a certain...
Suppose IQ scores were obtained from randomly selected couples. For 20 such pairs of people, the...
Suppose IQ scores were obtained from randomly selected couples.
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1.14x, where x represents the IQ score of the wife. Also, the 20x
values have a mean of 105.21 and the 20y values have a mean of
105.1. What is the best predicted IQ of the husband, given that
the wife has an IQ of 91? Use a...
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of...
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 100.12, y = 100.8, r=0.869, P-value = 0.000, and y = 3.57 +0.97x, where x represents he IQ score of the husband. Find the best predicted value of y given that the husband has an IQ of 94? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best...
The data show the number of viewers for beint with cortan sabanes Find the regression equation...
The data show the number of viewers for beint with cortan sabanes Find the regression equation ng Find the best predicted number of viewers for a l on s halary of 56 milion is the results Viewer millions Click the icon to www the real values of the Pearson correlation coefficient What is the regression equation? . Round to the decinal places needed What is the best predicted number of es for a lesions with a salary of 56 milio...
The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting...
The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. Find the best predicted diastolic pressure for a person with a systolic reading of 118. Is the predicted value close to 74.2, which was the actual diastolic reading? Use a significance level of 0.05. Systolic Diastolic Click the icon to view the critical values of the Pearson correlation coefficient r. 150 109 124 91 149 110...
Suppose IQ scores were obtained from randomly selected siblings. For 20 such pairs of people, the...
Suppose IQ scores were obtained from randomly selected siblings. For 20 such pairs of people, the linear correlation coefficient is 0.916 and the equation of the regression line is ý = - 3.14 +1.02x, where x represents the IQ score of the younger child. Also, the 20 x values have a mean of 103.21 and the 20 y values have a mean of 102.1. What is the best predicted IQ of the older child, given that the younger child has...
please answer all parts 1 Critical Values of the Pearson Correlation Coefficient Critical Values of the...
please answer all parts
1 Critical Values of the Pearson Correlation Coefficient Critical Values of the Pearson Correlation coefficient a = 0.05 a = 0.01 0.950 10.990 0.878 0.959 0.811 0.917 0.754 0.875 0.707 0.834 0.666 10.798 0.632 0.765 0.602 0.735 0.576 0.708 0.553 0.684 0.532 0.661 0.514 0.641 0.497 0.623 0.482 0.606 0.468 10.590 0.456 0.575 0.444 0.561 0.396 0.505 10.361 10.463 sand Print Done 17 18 19 0.402 0.468 0.590 0.456 10.575 0.444 0.561 0.396 0.505 0.361 0.463...
The data show the chest size and weight of several bears. Find the regression equation, letting...
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 44 inches. Is the result close to the actual weight of 213 pounds? Use a significance level of 0.05. Chest size (inches) 50 41 45 52 45 45 Weight (pounds) 321 221 265 335 307 265 Critical Values of the Pearson Correlation coefficient...
n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute...
n
α=0.05
α=0.01
NOTE: To test
H0:
ρ=0
against
H1:
ρ≠0,
reject
H0
if the absolute value of r is greater than the critical value in
the table.
4
0.950
0.990
5
0.878
0.959
6
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.590
19
0.456
0.575
20
0.444
0.561
25...
Find the regression equation letting overhead with be the predictor(s) variable. Find the best predicted weight...
Find the regression equation letting overhead with be the predictor(s) variable. Find the best predicted weight of a seal the overhead width moured from a photograph is 16 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 84 79 82 7.8 Weight (kg) 201 209 190 181 200 Click the loon to view the critical values of the Pearson correlation coeficient The regression equation...
Critical Values for the Correlation Coefficient n alpha = .05 alpha = .01 4 0.95 0.99...
Critical Values for the Correlation
Coefficient
n
alpha = .05
alpha = .01
4
0.95
0.99
5
0.878
0.959
6
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.59
19
0.456
0.575
20
0.444
0.561
25
0.396
0.505
30
0.361
0.463
35
0.335
0.43
40
0.312
0.402
45
0.294
0.378
50...
Suppose IQ scores were obtained from randomly selected couples.
For 20 such pairs of people, the linear correlation coefficient is
0.877 and the equation of the regression line is y= -14.38 +
1.14x, where x represents the IQ score of the wife. Also, the 20x
values have a mean of 105.21 and the 20y values have a mean of
105.1. What is the best predicted IQ of the husband, given that
the wife has an IQ of 91? Use a...
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 100.12, y = 100.8, r=0.869, P-value = 0.000, and y = 3.57 +0.97x, where x represents he IQ score of the husband. Find the best predicted value of y given that the husband has an IQ of 94? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best...
The data show the number of viewers for beint with cortan sabanes Find the regression equation ng Find the best predicted number of viewers for a l on s halary of 56 milion is the results Viewer millions Click the icon to www the real values of the Pearson correlation coefficient What is the regression equation? . Round to the decinal places needed What is the best predicted number of es for a lesions with a salary of 56 milio...
The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. Find the best predicted diastolic pressure for a person with a systolic reading of 118. Is the predicted value close to 74.2, which was the actual diastolic reading? Use a significance level of 0.05. Systolic Diastolic Click the icon to view the critical values of the Pearson correlation coefficient r. 150 109 124 91 149 110...
Suppose IQ scores were obtained from randomly selected siblings. For 20 such pairs of people, the linear correlation coefficient is 0.916 and the equation of the regression line is ý = - 3.14 +1.02x, where x represents the IQ score of the younger child. Also, the 20 x values have a mean of 103.21 and the 20 y values have a mean of 102.1. What is the best predicted IQ of the older child, given that the younger child has...
please answer all parts
1 Critical Values of the Pearson Correlation Coefficient Critical Values of the Pearson Correlation coefficient a = 0.05 a = 0.01 0.950 10.990 0.878 0.959 0.811 0.917 0.754 0.875 0.707 0.834 0.666 10.798 0.632 0.765 0.602 0.735 0.576 0.708 0.553 0.684 0.532 0.661 0.514 0.641 0.497 0.623 0.482 0.606 0.468 10.590 0.456 0.575 0.444 0.561 0.396 0.505 10.361 10.463 sand Print Done 17 18 19 0.402 0.468 0.590 0.456 10.575 0.444 0.561 0.396 0.505 0.361 0.463...
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 44 inches. Is the result close to the actual weight of 213 pounds? Use a significance level of 0.05. Chest size (inches) 50 41 45 52 45 45 Weight (pounds) 321 221 265 335 307 265 Critical Values of the Pearson Correlation coefficient...
n
α=0.05
α=0.01
NOTE: To test
H0:
ρ=0
against
H1:
ρ≠0,
reject
H0
if the absolute value of r is greater than the critical value in
the table.
4
0.950
0.990
5
0.878
0.959
6
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.590
19
0.456
0.575
20
0.444
0.561
25...
Find the regression equation letting overhead with be the predictor(s) variable. Find the best predicted weight of a seal the overhead width moured from a photograph is 16 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 84 79 82 7.8 Weight (kg) 201 209 190 181 200 Click the loon to view the critical values of the Pearson correlation coeficient The regression equation...
Critical Values for the Correlation
Coefficient
n
alpha = .05
alpha = .01
4
0.95
0.99
5
0.878
0.959
6
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.59
19
0.456
0.575
20
0.444
0.561
25
0.396
0.505
30
0.361
0.463
35
0.335
0.43
40
0.312
0.402
45
0.294
0.378
50...
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