Find the regression equation, letting the diameter be the
predictor (x) variable. Find the best predicted circumference of a
beachball with a diameter of 44.6 cm. How does the result compare
to the actual circumference of 140.1 cm? Use a significance level
of 0.05. Find the regression equation, letting the diameter be the
predictor (x) variable. Find the best predicted circumference of a
beachball with a diameter of 44.6 cm. How does the result compare
to the actual circumference of 140.1 cm? Use a significance level
of 0.05.
Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball
Diameter 7.3 24.3 4.3 22.2 7.0 4.1 21.1
Circumference 22.9 76.3 13.5 69.7 22.0 12.9 66.3\
The regression equation is y bar equals=_____ + ______x.
(Round to five decimal places as needed.)
The best-predicted circumference for a diameter of 44.6cm is _________cm. (Round to one decimal place as needed.)
How does the result compare to the actual circumference of
140.1cm?
A.Since 44.6cm is within the scope of the sample diameters, the
predicted value yields the actual circumference.
B.Even though 44.6cm is beyond the scope of the sample diameters, the predicted value yields the actual circumference.This is the correct answer.
C.Since 44.6cm is beyond the scope of the sample diameters, the predicted value yields a very different circumference.Your answer is not correct.
D.Even though44.6 cm is within the scope of the sample diameters, the predicted value yields a very different circumference.

1)
The regression equation is y^ =0.00639+3.14015x
2)
The best-predicted circumference for a diameter of 44.6cm =140.1
3)
B.Even though 44.6cm is beyond the scope of the sample diameters, the predicted value yields the actual circumference.
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted...
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marblemarble with a diameter of 1.7 cm. How does the result compare to the actual circumference of 5.3 cm? Use a significance level of 0.05 _ Diameter Circumference Baseball 7.4 23.2 Basketball 24.4 76.7 Golf 4.2 13.2 Soccer 21.9 68.8 Tennis 7.0 22.0 Ping-Pong 4.0 12.6 Volleyball 20.9 65.7 The regression equation is ModifyingAbove y with caretyequals=nothingplus+nothingx. (Round to five decimal...
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.8 cm. How does the result compare to the actual circumference of 5.7 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball 7. 3 2 4.3 4.3 22.3 6.9 4.0 20.5 Circumference 22.9 76.3 13.5 70.1 21.7 12.6 64.4 Click the icon to view the critical values of the Pearson correlation...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 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) 8.2 7.3 9.4 7.5 7.4 8.7 Weight (kg) 165 158 240 134 152 213 The regression equation is ModifyingAbove y with caretyequals=_____+______x. (Round to one...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.4 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) 7.4 8.4 9.7 7.5 8.3 8.2 Weight (kg) 151 224 275 153 210 210 Click the icon to view the critical values of the Pearson...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.1 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) 8.1 83 9.3 7.8 92 Weight (kg) 184 223 261 170 209 259 82 Click the icon to view the critical values of the Pearson...
Critical Values of the Pearson Correlation Coefficient
r
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...
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 30 years. Is the result within 5 years of the actual Best Actor winner, whose age was 40 years? Best Actress Best Actor 56 29 32 30 39 40 64 31 31 44 28 65 22 44...
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actressactor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 60 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? Best Actress 28 30 30 60 34 31 44 28 62 22 43 54 Best Actor 42 36...
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 58 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? Best Actress 27 31 30 64 34 32 46 29 61 22 43 53 Best Actor 41 38...
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 78.3 Internet users per 100 people. How does it compare to the country's actual Nobel Laureate rate of 1.5 per 10 million people? Х i Data Table Click the icon to view the data. Find the equation of the regression line. ŷ=+x (Round the constant to one decimal place as needed. Round the coefficient to...