It could be the x-axis or the y-axis (not enough information)
The statement " only the estimate intercept is statistically significant at the 5% level is wrong" is wrong about the estimate.
<h3>What is probit regression?</h3>
A probit model is a type of regression in statistics where the dependant variable can only take two values.
We have:
Regress smoker on cubic polynomials of age
If we use linear probability model.
Here the data are missing, but we can say about the estimate that:
Only the estimate intercept is statistically significant at the 5% level is wrong,
Thus, the statement " only the estimate intercept is statistically significant at the 5% level is wrong" is wrong about the estimate.
Learn more about the probit regression here:
brainly.com/question/23389011
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I am in eighth grade and I tried my best
