Question

Which of the following equations for the line of best fit represent data sets that have a positive linear relationship? Check all that apply.

A. = 15.89 + 2.9x
B. = 100 - 2.03x
C. = 170.8 - 5.9x
D. = -0.0025 + 0.8x
E. = 88.5 - 8.8x

Answer 1

@amistre64

Answer 2

@FutureMathProfessor

Answer 3

A and D

Answer 4

that's what I said :) nothing else?

Answer 5

Nop;e

Answer 6

btw u know I accidentlly typed in A.
it should be -15.89

Answer 7

and D should be -0.0025 - 0.8x

Answer 8

i'll retype the choices:

A. -15.89-2.9x
B. -0.0025-0.8x
C. -170.8-5.9x
D. -0.001+2.03x
E. 88.5+8.8x

Answer 9

D and E

Answer 10

ARE U SURE??

Answer 11

oh wait.. yeah that is true

Answer 12

Look at the variable term. If it's positive then you are golden

Answer 13

yeah I see that

Answer 14

what abt this problem?

Answer 15

@music101 positive linear regression relationship means that the slope of the line is positive. That explains why D and E are the choices.

Answer 16

Identify the explanatory and response variables in the following situation: There is a strong negative correlation between latitude above the equator and number of hours of daylight on December 21.

A. Explanatory: Latitude
Response: Average Temperature

B. Explanatory: Latitude
Response: Daylight hours

C. Explanatory: Time of year
Response: Daylight hours

D. Explanatory: Daylight Hours
Response: Latitude

Answer 17

is it B?

Answer 18

Explanatory variable is another name for independent variable (what you plot on the x-axis).
Response variable is the dependent variable, such as the result of a function evaluation (what you plot on the y-axis).
Can you figure it out using the above?

Answer 19

Yes, it is B.

Answer 20

yea I know so wouldn't latitude be the x axis? (independent variable)?

Answer 21

yay! ok thnks :)

Answer 22

medal