MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Use linear regression on your calculator to find the equation of the linear
x | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
y | 71 | 86 | 112 | 124 | 147 | 150 |
Hint: Write your final answer as an equation in the form y=mx+by=mx+b. Round all numbers to 2 decimal places.
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- Use linear regression on your calculator to find the equation of the linear function that best fits this data. 1 3 4 5 6 y 84 110 139 170 180 222 = mx + b. Round all numbers to 2 decimal Hint: Write your final answer as an equation in the form y places.arrow_forwardLet ŷ represent the profit (in thousands of dollars) for a certain company xx years after 1965. A statistician calculates a linear model ŷ = 0.38xx + 15Use the model to estimate the profit in 1973. Your answer should be in dollars, not thousands of dollars.Profit =$arrow_forwardThe value of your investment real estate, which is valued today at $231,000 , is projectedto appreciate to $270,000 in six years. Find the linear equation expressing the $ value V(t)of that real estate as a linear function of time t in yearsarrow_forward
- The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. 220- 210 200 190 180 170 160 150 Year 0 130- 120- 110- 100- 90 801 6 12 15 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. Retail Sales 85.851 108.426 141.781 169.256 202.297 222.266 3 6 9 12 15 Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model for the data. The function is not a good model for the data Estimate the retails sales in the U. S. in 2015. billions of dollars.arrow_forwardSuppose that the number of tee shirts sold (N) depends linearly on the price charged (x). Write an equation showing this dependence.arrow_forward
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