A linear regression model was fitted to estimate the respons…
A linear regression model was fitted to estimate the response variable Roll using the predicting variable Unem. There are in total 29 observations. Here is the model summary, with some values missing: Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3957.0 4000.1 0.989 0.3313UNEM 1133.8 513.1 X 0.0358 *—Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1Residual standard error: 3049 on Y degrees of freedomMultiple R-squared: 0.1531, Adjusted R-squared: Z F-statistic: 4.883 on 1 and ? DF, p-value: 0.03579