SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Time 0.9984 0.9968 0.9966 6.4784 19 df 1 17 18 SS MS F 222948.30 222948.30 5312.06 41.97 713.49 223661.79 Coefficients Standard Error 101.33 19.78 3.09 0.27 t Stat 32.75 72.88 P-value 0.00 0.00 Significance F 0.0000 Lower 95% 94.81 19.20 Upper 95% 107.86 20.35 Bill used regression to measure the trend for a time series of the number of cars sold by Sunshine Toyota over the past 19 months. He is trying to project sales for each of the next 6 months. Based on the output above (in which "Time" is month), what is the forecast for Month 22 ?

SUMMARY OUTPUT Bill used regression to measure the trend for a time series of the number of cars sold by Sunshine Toyota over the past 19 months. He is trying to project sales for each of the next 6 months. Based on the output above (in which "Time" is month), what is the forecast for Month 22