The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender =1 and 0 for females. Regression Analysis : Height Versus Shoe Size , Gender
Cofficients
Term Coef SE coef T-value P-value
Costant 55.29 1.09 51.67 0.000
Shoe size 1.161 0.11 0.000
Gender 2.576 0.4967 5.31 0.000

Required:
a. Find the value of the test statistic for shoe size.
b. Is the regression coefficient of shoe size statistically significant?
c. Does the variable shoe size belong in the model?

r(0,90)(x,y) . t(-5,0)

last option

step-by-step explanation:

∆def to ∆d"e"f"

- rotate 90 counterclockwise degrees

- then translated 5 to the left (x --> x - 5)

answer is the last option

step-by-step explanation:

circumference divided by 3.141592654 then timesthe radius twice

option c) graph of line going through 1, 4 and 3, 10

step-by-step explanation:

let y equal to margo's coin collection

let x equal to number of years

at the begining x=0, y=1 → point=(x,y)→point=(0,1)

she adds 3 coins per year, then y=1+3x

at x=1, y=1+3(1)=1+3→y=4→point=(x,y)→point=(1,4)

at x=3, y=1+3(3)=1+9→y=10→point=(x,y)→point=(3,10)

the graph of line going through (1, 4) and (3, 10), then the option c is the correct.