We will predict hourly income based on the number of years of experience. Use an alpha level of 5% and the output below to answer the questions: SUMMARY OUTPUT Regression Statistics Multiple R 0.956 R Square Standard Error 2.579 Observations 11 ANOVA df SS Regression 1 Residual 59.864 Total 10 688.545 Coefficients Standard Error Intercept experience 16.223 1.720 1.410 0.177 How much of the variation in the "income" is explained by our linear regression model using the variable "experience"? report as a % round to 2 d.p. ( do not write the % sign in the answer)