QUESTION 1 The Simple Linear Regression is fit or constructed to predict a dependent variable. True False QUESTION 2 The Coefficient of Determination is used to explain in what percent (%) the independent variable is affecting the dependent variable. True False
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The simple linear regression line is a mathematical equation that represents the relationship between the independent variable (predictor) and the dependent variable (response). It is used to predict the value of the dependent variable based on the value of the Show more…
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Using the following information: Coefficients: -12.8094, 2.1794 Intercept Independent variable ANOVA df SS MS F Regression 1 12323.56 12323.56 90.0481 Residual 8 1094.842 136.8550 Total 9 13418.4 What is the correlation coefficient? 0.9184 0.9583 0.9004 -0.9583
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Variance Interpretation of R-squared 0.885 (assume this is for a linear regression model) There is 98.5% chance Itt = T Accurately predict Given An * 0.85X 0.1 the variability In * can be Explained by the linear relationship with 88-59" of the variability We can be explained by the linear relationship with There was an Average of 885y*
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