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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