Question: (3) How the temperature is expected to change with the change in X and Y respectively? Use the coefficients to explain. (3pt)4. Trend surface analysis

(3) How the temperature is expected to change with the change in X and Y respectively? Use the coefficients to explain. (3pt)4. Trend

surface analysis is one of the applications of OLS because spatial coordinates

X and are used as independent variables. In a trend surface analysis

(3) How the temperature is expected to change with the change in X and Y respectively? Use the coefficients to explain. (3pt)4. Trend surface analysis is one of the applications of OLS because spatial coordinates X and are used as independent variables. In a trend surface analysis of the temperature in Alberta o X and Y coordinates, the analyst regressed temperature on X and Y. The computer output is below. (5pt) ANOVA(b) Sum of Model Squares df Mean Square F Sig 1 Regression 477.500 2 238.750 28.608 000(a) Residual 175.260 21 8.346 Total 652.760 23 a Predictors: (Constant), y, x b Dependent Variable: z Coefficients(a) Unstandardized Standardized Coefficients Coefficients t Sig Model B Std. Error Beta B Std. Error (Constant) 13.164 1.556 8.458 000 X -.120 032 -.439 -3.788 1001 V -.259 036 -.836 -7.216 000 a Dependent " Saved to this PC

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