To the nearest billion, estimate the retails sales in the U. S. in 2012. _______billions of dollars. Use the equation to find the year in which retails sales will be $246 billion. _________
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The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995.
| Year | Retail Sales |
|---|---|
| 0 | 85.851 |
| 3 | 108.426 |
| 6 | 141.781 |
| 9 | 169.256 |
| 12 | 202.297 |
| 15 | 222.266 |
Let yy be the retails sales in billions of dollars in xx years since 1995. A linear model for the data is y=9.44x+84.182y=9.44x+84.182.
To the nearest billion, estimate the retails sales in the U. S. in 2012. _______billions of dollars.
Use the equation to find the year in which retails sales will be $246 billion. _________
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- The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let yy be the retails sales in billions of dollars in xx years since 1995. A linear model for the data is y=9.44x+84.182y=9.44x+84.182.36912158090100110120130140150160170180190200210220A) Use the above scatter plot to decide whether the line of best fit, fits the data well. The function is a good model for the data. The function is not a good model for the data B) To the nearest billion, estimate the retails sales in the U. S. in 2017. billions of dollars.C) Use the equation to find the year in which retails sales will be $246 billion.Suppose a study wants to predict the market price of a certain species of turtle (Y) based on the following independent variables indicated in the table. Based from the table, what is the equation of the multiple linear regression? (Round off up to two decimal places. Market Price = 0.07 - 0.40*weight + 1.51*length + 1.41*width + 0.80*age Market Price = - 0.40*weight + 1.51*length + 1.41*width + 0.80*age Market Price = 0.07 + 0.40*weight + 1.51*length + 1.41*width + 0.80*age Market Price = 0.07 - 0.40 + weight + 1.51 + length + 1.41 + width + 0.80 + ageThe following table represents the survey result from the seven online stores. Use linear regression to find the linear equation that is best fit for the data, width x equal to the online advertising. Round your coefficient to three decimal places. Online Store Online Advertising (in thousand dollars) Monthly e-commerce Sales (in thousand dollars) 1 1.5 368 2 1.7 340 3 2.8 665 4 5 954 5 1.3 331 6 2.2 556 7 1.3 376
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