Question: Using test data on 20 types of laundry detergent, an analyst fitted a regression to predict Cost- PerLoad (average cost per load in cents per

Using test data on 20 types of laundry detergent, an analyst fitted a regression to predict Cost- PerLoad (average cost per load in cents per load) using binary predictors TopLoad (1 if washer is a top-loading model, 0 otherwise) and Powder (if detergent was in powder form, 0 otherwise). Interpret the results. (Data are from Consumer Reports 68, no. 8 [November 2003], Laundry p. 42.)

R2 Adjusted R2 0.006 19 0.341 5.915 Std. Error Dep. Var Cost Per Load ANOVA table Source Regression Residual Total df 73.8699 559.8143 633.6842 MS 36.9350 34.9884 1.06 3710 16 18 Regression output variables coefficients std error t (df1 Intercept Top-Load Powder 95% lower 17.1333 -16.0130 -64509 95% 26.0000 4.1826 6.3000 4.5818 34.8667 3.4130 5.9081 6.216 1.23E-05 -1.375 -0.2714 2.9150-0.093 1881 9270

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