Using the data in gpa2.csv, we obtain the following equation for predicting college gpa: colgpa \ =1.493 (.075) + .00149 (.7) sat − .01386 (.00056) hsperc − .06088 (.01650) hsize + .00546 (.00227) hsize2 n = 4, 137, r2 = .278, r¯2 = .277, σˆ = .560. (a) what is the predicted college gpa when sat = 1, 200, hsperc = 30 and hsize = 5 (which means 500)? (b) obtain a 95% confidence interval for the prediction above. (you may need to change the original model to run a new regression.)

12*c

step-by-step explanation:

15%

step-by-step explanation:

use the table and count the number of guesses that has two correct answers.

the following are two correct answers

10010, 01100, 11000

a total of 3 numbers having 2 correct guesses out of 20 questions.

probability of getting 2 correct guesses = the number of questions getting 2 correct answers / total number of questions.

= 3/20

to convert it into percent multiply by 100, we get

= 3/20 * 100

= 15%

the answer is 15%

you.

walter needs to make at least 5 more cookies but no more than 40. 5 ≤ x ≤ 40

step-by-step explanation:

20 ≤ x + 15 ≤ 55

subtract 15 from all parts

20-15 ≤ x + 15-15 ≤ 55-15

5 ≤ x ≤ 40

this means how many more cookies he has to make

walter needs to make at least 5 more cookies, but no more than 40 cookies; 5 ≤ x ≤ 40

its an acute right triangle

step-by-step explanation: