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correlation and regression

Total questions: 11

Worksheet time: 39mins

Name
Class
Date
1.

Describe the correlation in the graph shown.

a)

A) Strong Negative

b)

B) Strong Positive

c)

C) Weak Negative

d)

D) No Correlation

2.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = 1.2

b)

B) r = 0.89

c)

C)r = 0

d)

D) r = -0.89

3.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = -0.9

b)

B) r = 1

c)

C) r = 0.9

d)

D) r = -1

4.

Describe the relationship between the variables.

a)

A) Weak negative correlation

b)

B) Moderate negative correlation

c)

C) Moderate positive correlation

d)

D) Strong negative correlation

5.

As x increases, y decreases.

a)

A) no correlation

b)

B) negative correlation

c)

C) correlation coefficient

d)

D) positive correlation

6.

As x increases, y increases

a)

A) correlation coefficient

b)

B) causation

c)

C) positive correlation

d)

D) negative correlation

7.

What type of correlation (association)?

Ice cream sales and shark attacks.

a)

A) Positive correlation

b)

B) Negative correlation

c)

D) No correlation

8.

The table shown is comparing a person's foot length to their height in cm. Calculate a line of best fit.

a)

y = 25.05 + 5.57x

b)

y = 5.57 + 25.05x

c)

y = -5.57 + 25.05x

d)

y = 5.57 - 25.05x

9.

The chart below tracts starting salaries for health care workers since the year 2000. Using linear regression, find the equation of best fit. Round decimals to 3 places.

a)

y = 27541.812 + 839.721x

b)

y = - 839.721 + 27541.812x

c)

y = 839.721 + 27541.812x

d)

y =- 27541.812 + 839.721x

10.
Interpret the slope of the Least Squares Line Equation.
a)
Income increases by 31.45 with each additional hour worked.
b)
Income increases by 31.45
c)
As hours increases by one, income will increase by 31.45, on average
d)
As hours increases by one, income will increase by 31.45
11.
Determine the predicted income if 22 hours were worked on an assembly job.
a)
$207.30
b)
$449.60
c)
$691.90
d)
$543.30