hanna properties specializes in custom-home resales in an exclusive subdivision of phoenix, arizona. a random sample of nine custom homes currently listed for sale is provided in the following table, in size (hundreds of square feet) and price of the home (thousands of dollars):the data is shown in the following table: square feet 26 27 33 29 29 34 30 40 22 price 259 274 294 296 325 380 457 523 215 if you wanted to predict the sales price based upon square footage for homes in this subdivision, what would be the slope of the least squares regression line? a. approx 15.89 b. approx -140.00 c. approx 0.68 d. none of the above

Respuesta :

To determine what satisfying assumptions 1-3 would mean by considering the variable under consideration.

The regression-inference Assumptions 1-3 must be satisfied if β°, β¹ and σ are constants, which ensures the x dimensions and price of every custom home to be normal, with β° + β¹ and a σ standard deviation.

The residuals should not be linear if the normal probability plot is followed.

In the diagram above, the assumptions for regression inferences appear to be unsatisfactory.

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