Question: Consider the linear probability model: = 0 + 1 + 2 + 3 + 4 + Estimate the regression model and report the regression output.

Consider the linear probability model: =₀+₁ +₂ +₃ +₄+

Estimate the regression model and report the regression output. Interpret the point estimates. According to the model, what is the probability that a female person aged 48 that had a call of average duration with a balance of 250,000 will buy a deposit product? Comment.

regress yn age duration balance sex1 sex2 Source SS df MS = Model Residual 738.918507 3931.34886 5 147.783701 45,205.086967124 Number of obs F(5, 45205) Prob > F R-squared Adj R-squared Root MSE 45,211 1699.31 0.0000 0.1582 0.1581 .2949 Total 4670.26737 45, 210 .103301645 yN Coef. Std. Err. t P>t| [95% Conf. Interval] age duration balance sex1 sex2 _cons .0006879 .0004914 4.46e-06 -.0081649 -.0035982 -.0393995 .0001312 5.39-06 4.582-07 .0038058 .003798 .0063495 5.24 91.21 9.74 -2.15 -0.95 -6.21 0.000 0.000 0.000 0.032 0.343 0.000 .0004307 .0004808 3.56e-06 -.0156244 -.0110423 - .0518447 .0009451 .0005019 5.36e-06 -.0007054 .0038459 -.0269543 Sex1 = female WA Sex2= Male regress yn age duration balance sex1 sex2 Source SS df MS = Model Residual 738.918507 3931.34886 5 147.783701 45,205.086967124 Number of obs F(5, 45205) Prob > F R-squared Adj R-squared Root MSE 45,211 1699.31 0.0000 0.1582 0.1581 .2949 Total 4670.26737 45, 210 .103301645 yN Coef. Std. Err. t P>t| [95% Conf. Interval] age duration balance sex1 sex2 _cons .0006879 .0004914 4.46e-06 -.0081649 -.0035982 -.0393995 .0001312 5.39-06 4.582-07 .0038058 .003798 .0063495 5.24 91.21 9.74 -2.15 -0.95 -6.21 0.000 0.000 0.000 0.032 0.343 0.000 .0004307 .0004808 3.56e-06 -.0156244 -.0110423 - .0518447 .0009451 .0005019 5.36e-06 -.0007054 .0038459 -.0269543 Sex1 = female WA Sex2= Male

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