Question
You have weekly store-level data and run the linear regression model of the form: unitsalesst=0+1pricest+2displaystunitsalesst=0+1pricest+2displayst and get the following output. Which of the following statements
You have weekly store-level data and run the linear regression model of the form: unitsalesst=0+1pricest+2displaystunitsalesst=0+1pricest+2displayst and get the following output. Which of the following statements is TRUE?
Model Summary | R-Square | Adjusted R Square | StErr of Estimate |
0.3468 | 0.3464 | 72.0508 |
Group of answer choices
In estimating the regression model shown above, the statistical software found the parameters that maximized the sum of the squared residuals
In the model described above, about 65% of the variance in the dependent variable remains unexplained
In a linear regression context, when the model is estimated just once, there is a different set of residuals for each of the three independent variables in the model
In a linear regression model, r-square is the proportion of variance in the dependent variable explained by the model, and adjusted r-square adjusts for models having different sample sizes
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