Question 1 The diagram below illustrates data with a 160 150 140 Trend Line Y = 56.70 + 10.54X Generator Demand Actual Demand Line 1990 1991 1992 1993 1994 1995 1996 1997 1998 Year O Negative correlation coefficient O Zero correlation coefficient Positive correlation coefficient O Correlation coefficient equal to +1Question 2 1 pts If computing a linear regression model of l5r=a+hnt and the resultant r squared is veryr near zero. then one would be able to conclude that {j Y=a+|ax is a good forecasting method C} Y=a+bx is not a good forecasting method {2} A multiple linear regression model is a good forecasting method for the data C} A multiple linear regression model is not a good forecasting method for the data Question 3 1 pts A prediction equation for sales and payroll was performed during a simple linear regression. In the regression printout shown below, which of the following statement is NOT true SUMMARY OUTPUT Regression Statistics Multiple R 0.833333 R. Square 0. 694444 Adjusted R Square 0.618056 Standard Error 1.311011 Observations 6 ANOVA Di SS MS F Si gri ficance F Regression 15.625 15.625 9.090909 0.039352 Residual 6.875 1.71875 Total 22.5 Standard Coefficients Error 1 Stat P-Value Lower 95% Upper 95% Intercept 2 1.742544 1. 147747 0.31505 -2.83808 6.838077 Payroll (X) 1.25 0.414578 3.015113 0.039352 0.098947 2.401053 O Payroll is a good predictor of Sales based on alpha = .05 O At alpha of .05, Reject Ho because p value