Linear Regression Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y = mr + b 1 2 3 4 5 6 79 92 105 120 135 165 y = 12.11z + 68.6

Let 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 =$

The 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 years

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.