You run a regression analysis on a bivariate set of data (n=46n=46). you obtain the regression equation y=−2.359x+−5.795y=-2.359x+-5.795wit h a correlation coefficient of r=−0.418r=-0.418 (which is significant at α=0.01α=0.01). you want to predict what value (on average) for the explanatory variable will give you a value of 170 on the response variable. what is the predicted explanatory value? (report answer accurate to one decimal place.)

see explanation

step-by-step explanation:

since the sequence is geometric there is a common ratio r between consecutive terms, that is

r = 4 ÷ - 2 = - 2

r = - 8 ÷ 4 = - 2

r = 16 ÷ 8 = - 2

the next term - 13 must be incorrect as it should be - 32 for the sequence to be geometric.

the first 4 terms are therefore geometric with common ratio r = - 2

step-by-step explanation:

idk the answer i want to say 10 but then it would be equal so try 9 but then yeah so yeah we love edgen

94

step-by-step explanation:

average the numbers and use a variable to figure out the minimum to get a 90.

(79+94+91+92+x)/5=90

x = 94