# Question

Using the data from the preceding exercise, find the best predicted volume of a marble with a diameter of 1.50 cm. How does the result compare to the actual volume of 1.8 cm3?

Find the regression equation using α = 0.05, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure.

Find the regression equation using α = 0.05, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure.

## Answer to relevant Questions

Refer to Data Set 6 in Appendix B and use the paired data consisting of IQ score and brain volume (cm3). Find the best predicted IQ score for someone with a brain volume of 1000 cm3. In each case, find the regression ...According to the least-squares property, the regression line minimizes the sum of the squares of the residuals. Refer to the data in Table 10-1. a. Find the sum of squares of the residuals. b. Show that the regression ...r = —0.793 (x = weight of a car, y = highway fuel consumption) Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained ...Foot length: 26.0 cm; 95% confidence. Use the paired data consisting of foot lengths (cm) and heights (cm) of the 40 people listed in Data Set 2 of Appendix B. Let x represent foot length and let y represent the ...For the multiple regression equation given in Exercise 1, we get R2 = 0.928. What does that value tell us?Post your question

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