Can you please answer the questions on the screenshot? Depth of snow (m)Number of skiers0.51200.82502.15003.67801.43001.52801.84102.73203.26402.45402.65301.7200Question 5: Draw a line of best fit by eye.Question 6: Find the equation for the line of best fit done by eye. Ensure that you list the pointsyou have used in your calculations. (y = mx +b)Question 7: Use a calculator and find the equation of the regression line..Question 8: Calculate Pearson's Correlation Coefficient using a calculator.-

Given Data : X = Depth of snow Y = Number of skiers 0.5 120 0.8 250 2.1 500 3.6 780 1.4…

Answered: Question 5: Draw a line of best fit by…

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 7P

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Similar questions

Running Speed A man is running around a circular track that is 200 m in circumference. An observer uses a stopwatch to record the runner’s time at the each of each lap, obtaining the data in the following table. (a) What was the man’s average speed (rate) between 68 s and 152 s? (b) What was the man’s average speed between 263 s and 412 s? (c) Calculate the man’s speed for cadi lap, Is he slowing down, speeding up, or neither?
Running Speed A man is running around a circular track that is 200 m in circumference. An observer uses a stopwatch to record the runners time at the end of each lap, obtaining the data in the following table. aWhat was the mans average speed rate between 68 s and 152 s? bWhat was the mans average speed between 263 s and 412 s? cCalculate the mans speed for each lap. Is he slowing down, speeding up or neither? Time s Distance m 32 200 68 400 108 600 152 800 203 1000 263 1200 335 1400 412 1600
When Date Are Unevenly speed. If data are evenly spaced, we need only calculate differences to see whether the data are linear. But if data not evenly spaced, then we must calculate the average rate of change over each interval to see whether the data are linear. If the average rate of changes is constant, it is the slope of the linear function. This fact is used in Exercises 23 and 24. In the following table, show that the average rate of change is the same over each interval. This shows the data are linear, even though the differences in y are not constant. Then find a linear model for the data. x 1 2 5 6 y 7 10 19 22

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