Use the dataset WAGE2.dta (or the corresponding spreadsheet). Run a regression of the log of wage on the following explanatory variables: educ, exper, tenure and IQ. (a) What is the 99 percent confidence interval for educ coefficient?
(b) What is the p-value for the t-test examining the hypothesis that a year of education only yields a
2 percent higher salary than getting a year of experience at the same firm? (N. B. Tenure increases
here too!)
(c) What is the t-statistic for the hypothesis that a year of education has the same effect on wage
growth as 10 extra IQ points?
(d) What is the F-statistic for the joint significance test for educ and IQ?

data linked

the camry sales+accord sale=828,000. to make it so the two numbers are 18 thousand apart and still equal 828,000, you first need to find out what half of 828,000 is. 828,000/2=414,000. for the two numbers to equal 828,000, you have to add the same amount as you subtract from the middle. in this case, the number is 9,000 because it's half of 18,000. to equal 828,000, you have to add 9,000 to 414,000 for the camry and subtract 9,000 from 414,000 for the accord. 414,000+9,000=423,000.

414,000-9,000=405,000.

423,000+405,000=828,000.

423,000-405,000=18,

hope it

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step-by-step explanation:

1/2*qr*rs

step-by-step explanation:

she would want to sell 10 full-year subscriptions and at least 9 half-year subscriptions to get a total of at least $300. 

i hope this answer you! if you have any further questions or concerns, feel free to ask! : )

step-by-step explanation:

mark brainliest!