In order to get a model with better predictive power, we can add other variables. The output below is from a multiple linear regression that adds two additional explanatory variables to the previous model: the percent of a state's population that self-identifies as white, and the median age of the state's population, both estimated from the Census Bureau. Use this output to answer the following. Coefficients: Eştimate Std. Error t value Pr(>It|) 7.87838 0.572 0.570 0.76989 0.05521 13.946 < 2e-16 *** 0.04283 4.679 2.56e-05 *** 0.957 4.50851 (Intercept) percent_vote percent_white 0.20039 median_age 0.01237 0.22683 0.055 Signif. codes: 0 ***** 0.001 **' 0.01 '*' 0.05 '.' 0.1 · '1 Residual standard error: 3.331 on 46 degrees of freedom Multiple R-squared: 0.8414, F-statistic: 81.33 on 3 and 46 DF, p-value: < 2.2e-16 Adjusted R-squared: 0.831 f. Assuming the other variables are in the model, which of the additional variables seem to be a useful predictor of the vaccination rate? Explain. g. Interpret the value of 0.20039 highlighted in the output above.

The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)

The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 57 inches. Is the result close to the actual weight of 476 pounds? Use a significance level of 0.05. 44 Chest size (inches) Weight (pounds) 58 48 51 58 60 425 266 347 453 282 408 Click the icon to view the critical values of the Pearson correlation coefficient r. ..... What is the regression equation? y=+x (Round to one decimal place as needed.) Activate Windows View an example Get more help- Help me solve this O Type here to search hp delete insert prt sc f12 f1o fg 1 f7 f6 f5 f3 米 IOI f1 esc hom backspace 6. L. 4 U E R tab F G J. A caps lock pause 00 9, %24 3. %23

You believe that the price of Zoom Videoconferencing stock and the price of American Airlines stock will move in opposite directions. In order to test this relationship, we do a simple regression with the following variables:A - dependent variable : month end price of American Airlines stockZ - independent variable: month end price of Zoom Videoconferencing stock Data from April 2019 through December 2020 (21 observations) is availableBased on the data, we compute the following:Var (Z) = 20927.702Cov (A,Z) = -899.153E(A) = 20.790E(Z) = 187.530Std Error of Estimate = 6.088TSS = 1476.830 Consider the equation At = b0 + b1 Zt + εtBased on the numbers given above, complete the following table Variable Estimate Std error t-statistic Slope b1   .00941      Constant b0   2.2088      R-square   N/A N/A F statistic   N/A N/A   Are the coefficients (slope and/or constant) significant at the .05 level?