Question: linear regression Model 4 : Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept)8.03793350.778600710.324 < 2e-16 *** genre_action_i-1.40587950.4540590-3.096 0.002149 ** genre_simulation_i2.06464730.54874073.763 0.000203 *** dev_rating1.65943880.26426656.279 1.22e-09 ***

linear regression Model 4 :

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept)8.03793350.778600710.324< 2e-16 ***

genre_action_i-1.40587950.4540590-3.096 0.002149 **

genre_simulation_i2.06464730.54874073.763 0.000203 ***

dev_rating1.65943880.26426656.279 1.22e-09 ***

num_streams-0.00495470.0005943-8.338 2.96e-15 ***

appeal_charity_i4.25888380.405082310.514< 2e-16 ***

---

Signif. codes:0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 3.454 on 294 degrees of freedom

Multiple R-squared:0.4434, Adjusted R-squared:0.4339

F-statistic: 46.84 on 5 and 294 DF,p-value: < 2.2e-16

The question is :

write down the estimated equation. Briefly discuss statistical significance of the model, individual coefficients, and the nature ofmarginal effects and include any caution about using a predictive model for explanatory purposes.

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