Question

For this and the text set of questions - where appropriate: The following is a partial regression result of a two- variable model (1.e. simple linear regression. In the study, a health care economist seeks to determine if a relationship exists between personal income and expenditures on health care, both measured in billions of dollars. Thet statistic for the slope coefficient is 49.27. The calculatex coefficient of determination for this regression is: 0.9802, The standard error of the estimate is: 2.5471, The lower limit of a 95% confidence interval for bl is: 0.136 Regression Statistics Multiple R 7 R Square Standard Error Observations 22 ??? 51 ANOVA MSF QUESTION 13 The f value is equal to: of 1 SS 15,750.3157 P-value 0.00001 Regression Residua Umor Total 7.42 772 16,068.2143 577.64 QUESTION 11 The estimated regression model (i.e. the prediction equation) is given by C Y =2.02 +0.17% Y =2.82 0.0437X Y = 1.3952 + 2.8272X Y 0.1764.0.14165X Erone of the above 1,876.22 Upper Lower P-value Standard Error 0.467509347 0.002875 Coefficients 0.1764984 0.1416522 Intercept Income 0.3718 2,427.71 67509347 0.377524859 ??? Lower 95% -0.76 ??? 0.707413927 0.00001 Upper 95% 1.116 0.147 None of the above QUESTION 18 The correlation coefficient of the above model is: QUESTION 15 - The sum of squares total (SST) is a measure of Explained variation of Y: 16,068.2143 and is equal to: QUESTION 16 The estimated variance of the residual (error term) is: 55.1830 QUESTION 17 The % of total variation that has been explained by the regression is measured by_and it can be calculated as: UR square; SSR/SST I R square; 1- (SSR/SST) INR square; 1. (SSR/SST) [IV] Standard error of the estimate: 1. (SSR/SST) (V] mean square regression; SSR/SST I and III 0.99 0.9802 Total variation of Y: 15,750.3157 2.5471 0.9718 II and V Unexplained variation 317,8986 Total variation of Y: 16,068.2143 none of the above 6.4877 none of the above IV and V None of the above I and V None of the choices is completely correct QUESTION 19 QUESTION 20 Based on the p-value for bl, the null hypothesis should be: The residual sum of squares (same as sum of squares error) in the accepted above model is: 1876.2224 QUESTION 21 THE FOLLOWING IS THE LAST QUESTION RELATED TO THE REGRESSION OUTPUT ABOVE. Suppose income ranges from $3 billion to $17 billion. Forecast the health care expenditure il income is $6.5 billion. rejected 317.8986 there is not enough information to make a decisior none of the above $6.78billion 15750.3157 2427.7095 $6.25 billion None of the above $1.097 billion $4.5 billion None of the above