More horsepower In Exercise 2, the regression modelmpg = 46.87 - 0.084 HP relates cars’ horsepower totheir fuel economy (in mpg). Explain what the slopemeans.

use the photos to answer the question: -interpret the regression statistics -explain whether the model is significant - what is the coefficients of the model - do the variables used in the model make sense why or why not - identify other variables that may improve the model Denton Hospitality Inc. has hired your consulting firm to evaluate and manage cashflows. Specifically, you have been asked to build a valid and reliable model to predict total expenses so management can better manage cashflows. You and your team prepared the following regression. Hospitality Inc - Total Expenses Prediction Model SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Regression Statistics Total 0810435721 0.656806059 062160668 7944854158 Intercept Number of rooms Hours Worked, Front Desk Hours Worked, GM Hours Worked, Housekeeping 44 df 4 39 43 SS MS 7.17E+11 4.71E+11 118E+11 18.65959 2.46E+11 6.31E+09 F Significance F Coefficients Standard Error…

solve the last part, Compute the R2 for the regression.

You are studying how a penguin's flipper length (in mm) explains its body mass (in grams) using linear regression. You choose a non-directional alternative to be safe. You calculate an R2=0.7621. What is the interpretation of this value? O76.21% of the variability in body mass is explained by the flipper length. O 76.21% of the variability in flipper length is explained by the body mass. 0 Flipper length and body mass have a positive relationship becase R² is positive O76.21% of the body mass values will be inside the confidence interval