I will give all of my points for few Q to you.sorry guys.I try to find#3 but I can't that's why I asked here..

Question

**<1>**ultiple regression equation is y = -35,000 + 130a + 20,000b, where a is a person's age, b is the person's grade point average in college, and y is the person's income. income for a person 29 years old college grade point average 3.2.
A: 32700

***<2>***Suppose the r² value of your equation in #1 is .892. Interpret this number for our situation in #1

***<3>***This data shows the temperatures on randomly chosen days during a summer class and the number of absences on those days. (temperature, number of absences), (72, 3), (85, 7), (91, 10), (90, 10), (88, 8), (98, 15), (75, 4), (100, 16), (80, 5). Find the equation of the regression line for the given data.

***<4>***Interpret an r value of -0.82

***<5>***What number represents the sum of the x's for your data in #3?

***<6>****What number represents the sum of the x's squared (i.e., (sum of x)2 ) for your data in #3?

***<7>***What number represents the sum of the x-squareds (i.e., sum of x2 ) for your data in #

Answer 1

Using a simple TI-83, the data in #3 gives a linear regression equation of
y = 0.4668x - 31.737, where y is absences and x is temperature. r = 0.977.

Sound like you've been partying too much and ignoring your classes. Well, you get what you choose.