
Sine the slope is negative and r=0.73 which is positive ,their is no linear correlation between x and y axis.
Correct answer is option a
ie. a linear correlation does not exist
This Question: 1 pt 15 of 15 (1 complete) This Test: 15 Assume that a sample...
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...
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...
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...
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...
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...
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...
For a data set
of brain volumes
(cm3)
and IQ scores
of
twelvetwelve
males, the linear
correlation coefficient is
requals=0.9540.954.
Use the table
available below to find the critical values of r.
Based on a
comparison of the linear correlation coefficient r and the
critical values, what do you
conclude about a linear correlation?
Table of Critical Values of r e a Number of Pairs of Data n Critical Value of r 0.950 4 0.878 0.811 0.754 0.707 0.666 0.632...
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...
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...