fit a multiple regression model to describe the relationship between weight and the predictors length and age. (use x1 for length and x2 for age. round your numerical values to two decimal places.)

Question

contestada

Respuesta :

shomerajeshwari90 shomerajeshwari90 · Answer 1 · 2022-12-18T05:41:20+01:00

The statement " only the estimate intercept is statistically significant at the 5% level is wrong" is wrong about the estimate.

What is multiple regression?

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 regression here:

brainly.com/question/23389011

#SPJ4