which Independent Variables should be removed that are least likely to be contributing to any significant change in the Dependent Variable. You will need to conduct t-tests with alpha set at 0.05 to determine the significance of the various IVs you exclude and include in your model.

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 93.68 4.47 20.96 0.00 84.88 102.48 84.88 102.48 Digital -15.14 1.24 -12.24 0.00 -17.58 -12.70 -17.58 -12.70 Event -14.81 1.31 -11.35 0.00 -17.39 -12.24 -17.39 -12.24 RACV Store -7.77 1.58 -4.91 0.00 -10.88 -4.65 -10.88 -4.65 Andrew 0.16 1.17 0.14 0.89 -2.13 2.46 -2.13 2.46 Claris -0.57 1.11 -0.52 0.61 -2.76 1.61 -2.76 1.61 Hybrid 0.85 1.03 0.82 0.41 -1.18 2.87 -1.18 2.87 small -7.02 1.47 -4.77 0.00 -9.92 -4.12 -9.92 -4.12 PV System Cost ($) 0.00 0.00 -9.39 0.00 0.00 0.00 0.00 0.00 Current Consumption 0.00 0.00 -1.00 0.32 0.00 0.00 0.00 0.00 Expected Production ( 0.00 0.00 1.50 0.14 0.00 0.00 0.00 0.00 Climate Change Impa 0.03 0.04 0.85 0.40 -0.04 0.11 -0.04 0.11SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.794590686 0631374359 0614337039 6855306108 Observations 250 ANOVA 0'1\" 55 M5 F Significance F Regression 11 19157.2012 1741.563746 37.05831525 1.58556E-45 Residual 238 11184.8628 46.99522183 Total 249 30342.064