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
The demand is based on the preferences and purchasing posibilities of consumers.
It brings a system closer to a target of stability or homeostasis
Brainliest?
In recent time, the aforementioned issues were replaced with
discrimination, slavery and genocide of many Native American. Slavery had been
one of the biggest problems in the United States that had rooted to racial discrimination
and segregation among the citizens of the country as well as it contributes to
genocide to many Native American families that were “civilized” by the current
culture.
