Correlation coefficient linear regression

If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34° day.

y = -60x+6443

• $4584

• $4673

• $8303

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

• y = 1.5x + 12

• y = 12x + 1.5

• y = 0.67x - 8

• y = -8x + 0.67

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 = 839.721x + 27541.812
• y = 27541.812x - 839.721
• y = 27541.812x + 839.721
• y = 839.721x - 27541.812

What is a best-fit line used for?

• To make predictions
• To make the graph look pretty
• To connect the points
• To make it look like you know what you are doing

Find the equation of the line of best fit for the given data

• y = 163.41x+1.49

• y =- 163.41x+ 4.19

• y =- 4.19x+163.41

• y = 4.19x -163.41

Write the equation for the linear regression shown.

• $y=-5.11x+3.23$

• $r=0.8$

• $y=3.23x\ -\ 5.11$ $\$

• $y=0.64x+0.8$

Write the linear regression equation for the following data points. Round to the nearest tenth.

• $y=-0.83x+0.61$

• $y=-0.83x+0.63$

• $y=0.83x+-0.8$

• $a^2+b^2=c^2$

Write the linear regression equation for the following data points. Round to the nearest tenth.

• $y=-0.27x+3.93$

• $y=3.93x+-0.27$

• $y=1.25x+3.75$

• $y=0.27x+3.94$