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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The quick way to do this is to multiply the bill by 1, mult. it again by 0.18, and then add the two results together.
Better and faster: Mult. the bill amount ($42.75) by 1.18:
1.18($42.75) = $50.45 (answer)
The property is called identity property.
Answer:
B
Step-by-step explanation:
4.5 x 6 = 27
4.5 x 8 = 36
27 x 2 = 54
36 x 2 = 72
54 + 72 = 126cm Perimeter/
27 x 36 = 972 cm2 Area/
