Question

You are given the following model: appr = B0 + B1 loanprc + B2atotinc + B3atotinc.sq....

You are given the following model:

appr = B0 + B1 loanprc + B2atotinc + B3atotinc.sq. + B4obrat + B5pubrec + u,

in which:

- approve: = 1 if loan is approved, and 0 if not

- obrat: other oblications, % of total income

- pubrec: = 1 if filed for bankruptcy

- atotinc: Total monthly income

- loanprc: loan amount/ purchase price

- atotinc.sq. = atotinc*atotine

a. What sign would you expect from each partial slope coefficient in the model above? Justify your answers.

From the estimation of model above, one can obtain the following:

appr = 1.2 - 0.189loanprc + 1.7e-06atotinc - 4.3e-11atotinc2 - 0.0054obrat - 0.28pubrec

  (0.04) (0.038) (2.7e-06) (5.6e-11)    (0.00088) (0.0358)

R2 = 0.1087 n=1989

b. Interpret the coefficients of pubrec, and of loanprc.

c. How do you explain the signs of atotinc and atotinc2?

Homework Answers

Answer #1

Answer) a)

B1 = Negative, as higher the loan amount, then lower the chances of approval

B2 = Positive, as higher the monthly income , the higher the chances of approval

B3 = Positive, for the same reason as for atotinc, i.e. B2

B4 = Negative, as if the other obligations are large, then there is a low chance of approval.

B5 = Negative, as if the person have filed for bankruptcy then the chances of approval are less.

b)

The coefficient of pubrec means that if the person has filed for bankruptcy, then there is a deduction of 0.28 in the appr variable value, loanprc means that 0.189 is decreased in the variable value of appr for every 1 value in loanprc.

c) atotinc and atotinc signs will be positive on an over all lever, as if they are larger then the chances of loan approval are larger as well.

Please upvote if this helps.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
1.    In a multiple regression model, the following coefficients were obtained: b0 = -10      b1 =...
1.    In a multiple regression model, the following coefficients were obtained: b0 = -10      b1 = 4.5     b2 = -6.0 a.    Write the equation of the estimated multiple regression model. (3 pts) b     Suppose a sample of 25 observations produces this result, SSE = 480. What is the estimated standard error of the estimate? (5 pts) 2.    Consider the following estimated sample regression equation: Y = 12 + 6X1 -- 3 X2 Determine which of the following statements are true,...
As a manager, you have been provided the following regression summery output for a regression model...
As a manager, you have been provided the following regression summery output for a regression model of a new product. PLEASE PROVIDE STEP BY STEP INSTRUCTIONS TO SOLVE THIS. THANK YOU df SS MS F Significance F Regression 3 156.4823 52.16077 28.01892 0.000002177 Residual 26 48.4023 1.861627 Total 29 204.8846 Coefficients P-value Intercept 23.8163 9.24E-07 Price -0.3035 0.001925 Price other -0.342937 0.112442 Income 0.23406 0.033889 a. What is the percent risk of the coefficients really being zero? In other words,...
Let’s consinder a mortgage application using HMDA (The Home Mortgage Disclosure Act). Here is a sample...
Let’s consinder a mortgage application using HMDA (The Home Mortgage Disclosure Act). Here is a sample from 30 mortgage applications: ID loanamt income hprice 1 109 63 155 2 185 137 264 3 121 53 128 4 125 78 125 5 119 37 149 6 153 65 171 7 380 188 484 8 100 58 125 9 110 78 158 10 41 31 116.5 11 115 54 128 12 248 117 280 13 126 60 157.5 14 260 192 325...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT