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 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...
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...