Answer:
ndent variable.
Explain how the data support or do not support each of the hypotheses.
Explain why the findings cannot be generalized to all students
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:
p180
Explanation:
i took the test and got it right
Answer:
Yes
Explanation:
Yes, Because Officially, their aim was to defend perestroika against reactionary elements within the state bureaucracy, but over time, they began to question the legitimacy of their republics' membership of the Soviet Union.
