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
Assuming we don't know the speed capabilities of the tractor, the time it would take simply be the rate in miles per hour. It has a direct correlation between speed and time spent, so the miles the tractor needs to plow is unneeded.
Answer:
To calculate profit, producers subtract total costs from total income.
Explanation:
This is a basic premise of cost theory. Total revenue is obtained by multiplying the price by the quantity sold. The total cost is the multiplication of the cost of each unit by the quantity.
Profit is the decrease in revenue by cost.
6437. fraction of the terms in a normal distribution have z-scores between 2.41 and 0.39
