I need help in these questions!!

#2. Below is output from a regression. We are trying to predict the number of units produced using the costs to run the shift in dollars and a 0/1 variable for whether the time period was a dayshift or not (1 for Dayshift, 0 for Nightshift). Call: Im(formula = Produced ~ . , data = ProducedDayShiftBinary) Residuals: Min 1Q Median 30 Max -349. 78 -94. 40 35.88 117. 41 264.18 Coefficients : Estimate Std. Error t value Pr(>|t|) (Intercept) -1. 847e+02 2.040e+02 -0.905 0. 38476 Cost 1. 141e-02 2. 521e-03 4. 528 0. 00086 * * * DayShift -6. 202e+01 1. 163e+02 -0.533 0. 60444 Signif. codes: 0 '***' 0. 001 '**' 0.01 '*' 0. 05 '.' 0.1 ' 1 Residual standard error: 183.3 on 11 degrees of freedom Multiple R-squared: 0. 6961, Adjusted R-squared: 0. 6408 F-statistic: 12.6 on 2 and 11 DF, p-value: 0. 00143 NOTE: -1.847e+02=-184.7 and 1.141e-02=0.01141, etc. A. How close is this model to perfect prediction? Justify your response by specifying the appropriate figure from the output. [2 points] B. Could any of the variables be eliminated from the model? If so, which one(s)? Justify your response based on the appropriate figure from the output. You may use any standard alpha [2 points] C. Is the model as whole statistically significant, or not. Justify your response by specifying the appropriate figure from the output. Use alpha=1% [2 points] D. Sketch the regression relationship below. Label all or any axes, slopes, intercepts or constant differences. Use all variables that are currently in the model. [10 points]