Answer:
A.2.251 cm , 2.349 cm, 2.295 cm
B. 0.023 meters.
Explanation:
I believe the correct answer is C. The other answers give outside information that doesn’t correlate with the promoted question.
Based on the computer output, the predicted price for a car with 10,000 miles is $22,347.20.
<h3>What is a least-squares regression?</h3>
A least-squares regression line can be defined as a standard technique in regression analysis and statistics that is typically used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In statistics, the sum of the residuals for a least-squares regression line is always zero (0) because it determines whether or not a line of regression is a good fit or match for the given data.
Based on the computer output, the predicted price for a car that has covered a distance of 10,000 miles on the odometer is $22,347.20.
Read more on least-squares regression here: brainly.com/question/26059078
Answer:
20
Explanation:
You would set up a proportion in order to solve this
3 green 12 green
------------ = ------------
8 total x total
Then you would cross mulitply for x and get 32. Since that is the total number, you would have to subract the 12 from 32 to get 20.
