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Below is a scatter plot (with the least squares regression line) for calories and protein (in grams) in one cup of 11 varieties of dried beans. The computer output for this regression is below the plot. Amount of protein (g) 52.5 50.0 47.5 45.0 42.5- 40.0- 37.5- 35.0 600 630 660 690 720 Number of calories Coef 2.08 Predictor SE Coef T P Constant 0.13 0.899 15.93 Calories 0.06297 0.02409 2.61 0.028 S = 3.37648 R-Sq= 43.2% R-Sq (adj) = 36.9% One cup of dried soybeans contains 846 calories. Which statement is correct? a. We can predict that the protein content for soybeans is 55.4 grams. X b. We can predict that the protein content for soybeans is 53.3 grams c. We can predict that the protein content for soybeans is 51.2 grams d. Unless we are given the observed protein content for soybeans, we can't calculate the predicted protein content. e. It would be inappropriate to predict the protein content of soybeans with this regression model, because their calorie content is well beyond the range of these data.

Below is a scatter plot (with the least squares regression line) for calories and protein (in grams) in one cup of 11 varieties of dried beans. The computer output for this regression is below the plot. Amount of protein (g) 52.5 50.0 47.5 45.0 42.5- 40.0- 37.5- 35.0 600 630 660 690 720 Number of calories Coef 2.08 Predictor SE Coef T P Constant 0.13 0.899 15.93 Calories 0.06297 0.02409 2.61 0.028 S = 3.37648 R-Sq= 43.2% R-Sq (adj) = 36.9% One cup of dried soybeans contains 846 calories. Which statement is correct? a. We can predict that the protein content for soybeans is 55.4 grams. X b. We can predict that the protein content for soybeans is 53.3 grams c. We can predict that the protein content for soybeans is 51.2 grams d. Unless we are given the observed protein content for soybeans, we can't calculate the predicted protein content. e. It would be inappropriate to predict the protein content of soybeans with this regression model, because their calorie content is well beyond the range of these data.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Below is a scatter plot (with the least squares regression line) for calories and protein (in grams) in one cup of 11 varieties of dried beans. The computer output for this regression is below the plot. Amount of protein (g) 52.5 50.0- 47.5- 45.0- 42.5 - 40.0- 37.5 35.0 600 630 660 690 Number of calories 720 Predictor Coef SE Coef T Constant 2.08 15.93 0.13 Calories 0.06297 0.02409 2.61 S = 3.37648 R-Sq= 43.2% R-Sq (adj) = 36.9% P 0.899 0.028 One cup of dried soybeans contains 846 calories. Which statement is correct? a. We can predict that the protein content for soybeans is 55.4 grams. X b. We can predict that the protein content for soybeans is 53.3 grams c. We can predict that the protein content for soybeans is 51.2 grams d. Unless we are given the observed protein content for soybeans, we can't calculate the predicted protein content. e. It would be inappropriate to predict the protein content of soybeans with this regression model, because their calorie content is well beyond the range of these data.
Transcribed Image Text:Below is a scatter plot (with the least squares regression line) for calories and protein (in grams) in one cup of 11 varieties of dried beans. The computer output for this regression is below the plot. Amount of protein (g) 52.5 50.0- 47.5- 45.0- 42.5 - 40.0- 37.5 35.0 600 630 660 690 Number of calories 720 Predictor Coef SE Coef T Constant 2.08 15.93 0.13 Calories 0.06297 0.02409 2.61 S = 3.37648 R-Sq= 43.2% R-Sq (adj) = 36.9% P 0.899 0.028 One cup of dried soybeans contains 846 calories. Which statement is correct? a. We can predict that the protein content for soybeans is 55.4 grams. X b. We can predict that the protein content for soybeans is 53.3 grams c. We can predict that the protein content for soybeans is 51.2 grams d. Unless we are given the observed protein content for soybeans, we can't calculate the predicted protein content. e. It would be inappropriate to predict the protein content of soybeans with this regression model, because their calorie content is well beyond the range of these data.
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