3. Consider the gretl output below on the regression of the number of cigarettes (cigs) smoked per dayon log income (lincome). With this information, answer the following:Model 1: OLS, using observations 1-807Dependent variable: cigsconstlincomeCoefficient Std. Error t-ratio p-value-3.62159 6.57698 -0.5506 0.58201.27054 0.677100 1.876 0.0610Mean dependent varSum squared residR²F(1,805)Log-likelihoodSchwarz criterion8.686493 S.D. dependent var151092.8 S.E. of regression0.004355 Adjusted R²3.521023 P-value(F)-3256.327 Akaike criterion6526.040 Hannan-Quinn13.7215213.700110.0031180.0609576516.6546520.258(a) Interpret the coefficient on lincome. Is this result intuitive?(b) Interpret the intercept coefficient. Is this result intuitive?(c) Suppose we multipled cigs by 10 (for all observations). What will happen to the estimatedintercept and slope parameters (be explicit)?1(d) Suppose we multiplied cigs by 10 (for all observations). What will happen to SST? What willhappen to R²?

The dependent variable is cigs.The independent variable is lincome.The sample size is .The…

Answered: 3. Consider the gretl output below on…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Let's study the relationship between brand, camera resolution, and internal storage capacity on the price of smartphones. Use α = .05 to perform a regression analysis of the Smartphones01CS dataset, and then answer the following questions. When you copy and paste output from MegaStat to answer a question, remember to choose to "Keep Formatting" to paste the text. a. Did you find any evidence of multicollinearity and variance inflation among the predictors. Explain your answer using a VIF analysis. b. Copy and paste the normal probability plot for your analysis. Is there any evidence that the errors are not normally distributed? Explain. c. Copy and paste the Residuals vs. Predicted Y-values. Does the pattern support the null hypothesis of constant variance for the errors? Explain. d. Study the residuals analysis. Which observations, if any, have unusual residuals? e. Study the residuals analysis. Calculate the leverage statistic. Which observations, if any, are high leverage…
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