CcDdEe CcDdEe cDdEe CcDdEedte CcDdEe T Normal T No Spac... Heading 1 Heading 2 (a)We propose the regression model (model

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Ccddee Ccddee Cddee Ccddeedte Ccddee T Normal T No Spac Heading 1 Heading 2 A We Propose The Regression Model Model 1 (279.9 KiB) Viewed 95 times

CcDdEe CcDdEe cDdEe CcDdEedte CcDdEe T Normal T No Spac... Heading 1 Heading 2 (a)We propose the regression model (model-1) as Problem 2 We study the production Y (in cubic meters per second) of a manufacturing processes, as a function of temperature X (in Celsius). For temperature increasing by 100 degrees from 100 to 600 °C, the production increased from 49 to 68. From the data we have summarize the following: Σ» =369, Σιν = = 22911 Exx = =134600-6825.639 IM i) Styles WO 11) 111) 11) iii) iv) (b)We propose the regression model (model-2) as iv) Title Y=B+BX+E, E(s)= 0 and Var(s) = 0¹. Estimate the model and interpret the slope Calculate the coefficient of determination and explain the result. Calculate 95% C.I for CcDdEe Subtitle Subtle Em. Use T-Test for testing the linearity of the estimated model Y=a+a√+s, E(s)=0 and Var (s) = a* Calculate the point estimation of a and a Construct the ANOVA Table and use it for testing the model.. Calculate the percentage of reduction of the total variation explained by . Compute the expected production when the temperature is 550 C. (c) which model is better for such data (model-1 or model-2)? Why? مشمس 39°C 4x ENG 6