Chapter 10

Question 1

What is the Slope-Intercept Formula?

Answer 1

y=mx+b
m and b are constants
m=slope
b=y-intercept

pg. 544

Question 2

What is correlation?

Answer 2

exists between 2 variables when a change in the values of one variable are associated with a predictable change in the values of the other variable

pg. 546

Question 3

What is a linear correlation?

Answer 3

When that data falls along or near a stright line with a positive or negative slope when plotted in an x-y coordinate system

pg. 546

Question 4

What does it mean to have a positive correlation?

Answer 4

when a line has a positive slope, x and y increase together
graph looks like /

pg. 547

Question 5

What does it mean to have a negative correlation?

Answer 5

when a line has a nnegative slope, x increase and y decrease
graph looks like \

pg. 547

Question 6

What does it mean to have a no correlation?

Answer 6

a line has zero slope, y doesn’t change when x changes or there is no line to be seen scattered plot

pg. 548

Question 7

What is a linear correlation?

Answer 7

using r to see if that data is a “good fit” for the line, measures the strength of the correlation
r does NOT give the slope(shape) of the line

pg. 551

Question 8

What is the range for r?

Answer 8

It must be between 1 and -1
if it’s 1 then it’s perfect positive linear correlation
if it’s -1 then it’s perfect negative linear correlation
if it’s 0 then there is no linear correlation

pg. 552 and 553

Question 9

What is the null hypothesis for linear correlation?

Answer 9

Hsub0: is always that the data sets have zero correlation
The claim is that the data sets have a linear correlation
use support and not support

pg. 559

Question 10

How do you find r using the calculator?

Answer 10

data under L1/L2
Stat
Calc
LinReg(ax+b)
a=slope
b=y-intercept

pg. 560

Question 11

How do you make a prediction with regression line?

regression=best fit

Answer 11

only use when there is a linear correlation if not then use the mean of y-values
y=mx+b is the regression line then you plug in the values

pg. 562

Question 12

What are the steps on the test?

Answer 12

a) find the r
b) find the critical values
c) determine if there is enough evidence to support the claim (yes or no)
d) find the regression equation (y=mx+b)
e) use the correct procedure to find the indicated predicted value

pg. 564