(c) Christopher is a new driver (zero years of experience). What is the probability that he will pass the test? (d) Sketch the predicted probabilities from the probit and logit regressions in column (1) and (2) for values of Experience between 0 and 60. Are the probit and logit models similar?

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Can I get help with just parts C and D please. 

### Analysis of Driving Test Pass Probability

#### Dependent Variable: Pass

This table presents the coefficients from different regression models used to estimate the probability of passing a test based on several variables. The models include Probit, Logit, and Linear Probability models across different statistical settings.

| Variables           | Probit (1) | Logit (2) | Linear Probability (3) | Probit (4) | Logit (5) | Linear Probability (6) | Probit (7) |
|---------------------|------------|------------|-------------------------|------------|------------|-------------------------|------------|
| Experience          | 0.031     | 0.040     | 0.006                  |             |             |                         | 0.041     |
|                     | (0.009)   | (0.016)   | (0.002)                |             |             |                         | (0.156)   |
| Male                |           |           |                       | -0.333     | -0.622     | -0.071                  | -0.074     |
|                     |           |           |                       | (0.161)    | (0.303)    | (0.034)                 | (0.259)    |
| Male × Experience   |           |           |                       |             |             | -0.015                 |            |
|                     |           |           |                       |             |             | (0.019)                |            |
| Constant            | 0.712     | 1.059     | 0.774                  | 1.282     | 2.197     | 0.900                  | 0.806     |
|                     | (0.126)   | (0.221)   | (0.034)                | (0.124)    | (0.242)    | (0.022)                | (0.200)    |

The numbers in parentheses represent standard errors.

### Problem 1

Using results from column (2):

**(a)** Does the probability of passing the test depend on **Experience**? Explain.

**(b)** Matthew has 10 years of driving experience. What is the probability that he will pass the test?

**(c)** Christopher is a new driver (zero years of experience). What is the probability that he will pass the test?

**(d
Transcribed Image Text:### Analysis of Driving Test Pass Probability #### Dependent Variable: Pass This table presents the coefficients from different regression models used to estimate the probability of passing a test based on several variables. The models include Probit, Logit, and Linear Probability models across different statistical settings. | Variables | Probit (1) | Logit (2) | Linear Probability (3) | Probit (4) | Logit (5) | Linear Probability (6) | Probit (7) | |---------------------|------------|------------|-------------------------|------------|------------|-------------------------|------------| | Experience | 0.031 | 0.040 | 0.006 | | | | 0.041 | | | (0.009) | (0.016) | (0.002) | | | | (0.156) | | Male | | | | -0.333 | -0.622 | -0.071 | -0.074 | | | | | | (0.161) | (0.303) | (0.034) | (0.259) | | Male × Experience | | | | | | -0.015 | | | | | | | | | (0.019) | | | Constant | 0.712 | 1.059 | 0.774 | 1.282 | 2.197 | 0.900 | 0.806 | | | (0.126) | (0.221) | (0.034) | (0.124) | (0.242) | (0.022) | (0.200) | The numbers in parentheses represent standard errors. ### Problem 1 Using results from column (2): **(a)** Does the probability of passing the test depend on **Experience**? Explain. **(b)** Matthew has 10 years of driving experience. What is the probability that he will pass the test? **(c)** Christopher is a new driver (zero years of experience). What is the probability that he will pass the test? **(d
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