correlation and regression

Describe the correlation in the graph shown.

• A) Strong Negative

• B) Strong Positive

• C) Weak Negative

• D) No Correlation

Tags

CCSS.HSF-LE.A.1B

Estimate the correlation coefficient for this scatterplot.

• A) r = 1.2

• B) r = 0.89

• C)r = 0

• D) r = -0.89

Estimate the correlation coefficient for this scatterplot.

• A) r = -0.9

• B) r = 1

• C) r = 0.9

• D) r = -1

Describe the relationship between the variables.

• A) Weak negative correlation

• B) Moderate negative correlation

• C) Moderate positive correlation

• D) Strong negative correlation

As x increases, y decreases.

• A) no correlation

• B) negative correlation

• C) correlation coefficient

• D) positive correlation

Tags

CCSS.HSF-LE.A.1B

As x increases, y increases

• A) correlation coefficient

• B) causation

• C) positive correlation

• D) negative correlation

Tags

CCSS.HSF-LE.A.1B

What type of correlation (association)?

Ice cream sales and shark attacks.

• A) Positive correlation

• B) Negative correlation

• D) No correlation

Tags

CCSS.HSF-LE.A.1B

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

• y = 25.05 + 5.57x

• y = 5.57 + 25.05x

• y = -5.57 + 25.05x

• y = 5.57 - 25.05x

Tags

CCSS.8.EE.C.8C

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.

• y = 27541.812 + 839.721x

• y = - 839.721 + 27541.812x

• y = 839.721 + 27541.812x

• y =- 27541.812 + 839.721x

Interpret the slope of the Least Squares Line Equation.

• Income increases by 31.45 with each additional hour worked.
• Income increases by 31.45
• As hours increases by one, income will increase by 31.45, on average
• As hours increases by one, income will increase by 31.45

Tags

CCSS.HSF.LE.B.5