ences Mailings Review View Help Tell me what you want to do A Aa - TT 2 T AaBbCcDc AaBbCcDc AABBC AaBbC. A,ッ,A▼ 信。 I Normal T No Spac. Heading 1 Heading Paragraph Styles Income Residual Plot 20 1000...

8- Conduct residual analysis for the best fitted model . Comment on the normality assumption and constant error variances. Comment on this 4 graph on the the normality assumption and constant error variancesences<br>Mailings<br>Review<br>View<br>Help<br>Tell me what you want to do<br>A<br>Aa -<br>TT 2 T<br>AaBbCcDc AaBbCcDc AABBC AaBbC.<br>A,ッ,A▼<br>信。<br>I Normal T No Spac. Heading 1<br>Heading<br>Paragraph<br>Styles<br>Income Residual Plot<br>20<br>1000<br>1500<br>-20<br>y = -0.0155x + 8.6249<br>-40<br>Income<br>Family Size(X) Residual Plot<br>20<br>12<br>-20<br>y = -1.9696x + 9.7991<br>-40<br>Family Size<br>近<br>Residuals<br>

Extracted text: ences Mailings Review View Help Tell me what you want to do A Aa - TT 2 T AaBbCcDc AaBbCcDc AABBC AaBbC. A,ッ,A▼ 信。 I Normal T No Spac. Heading 1 Heading Paragraph Styles Income Residual Plot 20 1000 1500 -20 y = -0.0155x + 8.6249 -40 Income Family Size(X) Residual Plot 20 12 -20 y = -1.9696x + 9.7991 -40 Family Size 近 Residuals
Mailings<br>Review<br>View<br>Help<br>Tell me what you want to do<br>AaBbCcD AaBbCcDc AaBbC AaBb(<br>1 Normal<br>1 No Spac. Heading 1<br>Headin<br>Paragraph<br>Styles<br>Highest Degree Residual<br>Plot<br>40<br>20<br>-20 0<br>8<br>y = -5.2701x + 10.759<br>Highest Degree<br>-40<br>Normal Probability Plot<br>400<br>y = 1.5735x + 32.553<br>300<br>200<br>100<br>20<br>40<br>60<br>80<br>100<br>120<br>Sample Percentile<br>近<br>Food Expenses (Y)<br>Residuals<br>

Extracted text: Mailings Review View Help Tell me what you want to do AaBbCcD AaBbCcDc AaBbC AaBb( 1 Normal 1 No Spac. Heading 1 Headin Paragraph Styles Highest Degree Residual Plot 40 20 -20 0 8 y = -5.2701x + 10.759 Highest Degree -40 Normal Probability Plot 400 y = 1.5735x + 32.553 300 200 100 20 40 60 80 100 120 Sample Percentile 近 Food Expenses (Y) Residuals

Jun 10, 2022
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