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Oc C Predictor Constant Calories 0.06297 Od De Coef 2.08 SE Coef T 15.93 0.02409 S = 3.37648 R-Sq = 43.2% ich of the following statements is a correct interpretation of the slope of the regression line? For each 1-gram increase in the protein content, the predicted calorie content increases by 0.024 grams. 2 а Ob For each 1-unit increase in the calorie content, the predicted protein content increases by 0.063 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 2.08 grams. For each 1-unit increase in the calorie content, the predicted protein content increases by 2.08 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 0.063 grams. P 0.13 0.899 2.61 0.028 R-Sq (adj) = 36.9%

Oc C Predictor Constant Calories 0.06297 Od De Coef 2.08 SE Coef T 15.93 0.02409 S = 3.37648 R-Sq = 43.2% ich of the following statements is a correct interpretation of the slope of the regression line? For each 1-gram increase in the protein content, the predicted calorie content increases by 0.024 grams. 2 а Ob For each 1-unit increase in the calorie content, the predicted protein content increases by 0.063 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 2.08 grams. For each 1-unit increase in the calorie content, the predicted protein content increases by 2.08 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 0.063 grams. P 0.13 0.899 2.61 0.028 R-Sq (adj) = 36.9%

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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Ap Stats
The computer output shown below gives the least-squares regression line for calories and protein (in grams) in one cup of 11 varieties of dried beans. a Ob O C Predictor Constant Calories Od Oe Coef 2.08 0.06297 0.02409 S = 3.37648 R-Sq= 43.2 % P SE Coef T 15.93 0.13 0.899 2.61 0.028 Which of the following statements is a correct interpretation of the slope of the regression line? R-Sq (adj) = 36.9% For each 1-gram increase in the protein content, the predicted calorie content increases by 0.024 grams. For each 1-unit increase in the calorie content, the predicted protein content increases by 0.063 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 2.08 grams. For each 1-unit increase in the calorie content, the predicted protein content increases by 2.08 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 0.063 grams.
Transcribed Image Text:The computer output shown below gives the least-squares regression line for calories and protein (in grams) in one cup of 11 varieties of dried beans. a Ob O C Predictor Constant Calories Od Oe Coef 2.08 0.06297 0.02409 S = 3.37648 R-Sq= 43.2 % P SE Coef T 15.93 0.13 0.899 2.61 0.028 Which of the following statements is a correct interpretation of the slope of the regression line? R-Sq (adj) = 36.9% For each 1-gram increase in the protein content, the predicted calorie content increases by 0.024 grams. For each 1-unit increase in the calorie content, the predicted protein content increases by 0.063 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 2.08 grams. For each 1-unit increase in the calorie content, the predicted protein content increases by 2.08 grams. For each 1-gram increase in the protein content, the predicted calorie content increases by 0.063 grams.
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