Question 2. Suppose we build a completely ridiculous and not serious regression model for the amount of snootiness based

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Question 2 Suppose We Build A Completely Ridiculous And Not Serious Regression Model For The Amount Of Snootiness Based 1 (45.96 KiB) Viewed 52 times

Question 2. Suppose we build a completely ridiculous and not serious regression model for the amount of snootiness based on the number of French people in the room. Using the detailed figures, calculate the values in the ANOVA table for the sum of squares, mean squares and the F statistic. Show all work including for the degrees of freedom. Fill in the values in the table below. [10 points) € Regression Residual Total vent French 1 2 3 4 5 Sum of Squares 0 2890 5854 90 5854 2930 K-1 2-1 1 n-k=10-2=8 n-1 = 10-1=9 Snootiness Predicted Snootiness 30-12 55-66 121 60-66 36 85-66 3341 100-L1156 2970 Avg. 66 Overall aug 664 F Mean Square of 11 0 2840 0 731.75 2667 83 44 32-156 49-66 256 0 - ماما - 66 83-66 100-66 α Square S5/K-1 = 0/1 0 S3s/n-K= 585418-731-75 55: 66-66-0 Pred. 32 49 تاما 256 1156 83 100 28849 5(0)²+5(0)²0x 'n-P-1 108.4 108.4. DF=8-1-1 43 NP (the-Aay)² 1156 289 0 289 1156 2840 (PLC-AND) उपन i -17 DF: 1 |-P MSN: 2640 10 Los-Ave Residual -2 6 یا - 20 Residual ² علا 36 80 m. OF MSR 26.67 |F=2890=108-36 26.67 Regression df is always indp. variable which were