Question: Regression Statistics Multiple R 0.083017 R Square 0.006892 Adjusted R Square -0.02414 Standard Error 4.453421 Observations 34 ANOVA df SS MS F Significance F Regression

Regression Statistics Multiple R 0.083017 R Square 0.006892 Adjusted R Square -0.02414 Standard Error 4.453421 Observations 34 ANOVA df SS MS F Significance F Regression 1 4.404256095 4.404256 0.222068 0.64066602 Residual 32 634.6545674 19.83296 Total 33 639.0588235 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 7.779557 1.282376914 6.066513 8.95E-07 5.1674404 10.391673 5.1674404 10.39167299 hours working per week -0.02143 0.045486271 -0.47124 0.640666 -0.11408747 0.07121753 -0.11408747 0.071217531 Create a linear trendline as shown above. Does the trendline appear to be a good model for the data

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