Correlation and R Value Review

Correlation and R Value Review

11th Grade

20 Qs

quiz-placeholder

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Correlation and R Value Review

Correlation and R Value Review

Assessment

Quiz

Mathematics

11th Grade

Hard

CCSS
HSF-LE.A.1B, 8.EE.C.8C

Standards-aligned

Created by

Anthony Clark

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Estimate the correlation coefficient for this scatterplot.

r = 0.56

r = -0.56

r = 0.92

r = -0.92

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following statements is not true of the correlation r between the lengths in inches and weights in pounds of a sample of brook trout?

r must take a value between -1 and 1.

r is measured in inches.

If longer trout tend to also be heavier, then r>0.

r would not change if we measured the lengths of the trout in centimeters instead of inches.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Describe the correlation in the graph shown.

Strong Negative

Strong Positive

Weak Negative

Weak Positive

Tags

CCSS.HSF-LE.A.1B

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The correlation coefficient measures...

whether there is a relationship between two variables.

the strength of the relationship between two quantitative variables.

whether a cause and effect relation exists between two variables.

the strength of the linear relationship between two quantitative variables.

5.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Media Image

What is the correlation coefficient of the regression line?

0.986

2527

total length (cm) = 1.1forklength (cm) + 4.1

4.1

Tags

CCSS.8.EE.C.8C

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Determine the correlation coefficient of the given data.

- .5477

.1770

.8956

- .9463

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the formula for calculating correlation coefficient?

(nΣxy + ΣxΣy) / √((nΣx^2 + (Σx)^2)(nΣy^2 + (Σy)^2))

(nΣxy - ΣxΣy) / ((nΣx^2 - (Σx)^2)(nΣy^2 - (Σy)^2))

(nΣxy - ΣxΣy) / √((nΣx^2 - (Σx)^2)(nΣy^2 - (Σy)^2))

(nΣxy - ΣxΣy) / ((nΣx^2 - (Σx)^2) + (nΣy^2 - (Σy)^2))

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