1, Estimate a linear regression, with Quantity as your dependent (y) variable. Your independent variables are Price, Xmas, Summer, and the Day of the Week variables. 2. Write out the estimated equation.  3. For each value of price (0 through 100 in increments of 5), plug the price into the estimated regression equation to get a “predicted quantity.” What is the average of these predicted quantities?  Quantity day Price Xmas Summer Monday Tuesday Wednesday Thursday Friday Saturday Sunday 121 1 62 0 0 1 0 0 0 0 0 0 168 2 44 0 0 0 1 0 0 0 0 0 132 3 52 0 0 0 0 1 0 0 0 0 230 4 16 0 0 0 0 0 1 0 0 0 232 5 28 0 0 0 0 0 0 1 0 0 368 6 7 0 0 0 0 0 0 0 1 0 225 7 63 0 0 0 0 0 0 0 0 1 115 8 63 0 0 1 0 0 0 0 0 0 143 9 50 0 0 0 1 0 0 0 0 0 79 10 74 0 0 0 0 1 0 0 0 0 85 11 61 0 0 0 0 0 1 0 0 0 210 12 47 0 0 0 0 0 0 1 0 0 265 13 41 0 0 0 0 0 0 0 1 0 348 14 20 0 0 0 0 0 0 0 0 1 117 15 61 0 0 1 0 0 0 0 0 0 124 16 49 0 0 0 1 0 0 0 0 0 45 17 89 0 0 0 0 1 0 0 0 0

b. What does the symbol y represent? O A. The symbol y represents the predicted value of price. O B. The symbol y represents the amount that price increases with a 1-point increase in rating. O C. The symbol y represents the expected price when the hotel's rating is 0. O D. The symbol y represents the average price of hotels in the area.

Use the cost model screenshot attached to answer the question. Thanks for the help. Use the weekly cost model to estimate the total weekly cost when the weekly demand is 147.  Round to the nearest dollar. $

The table contains price-supply data and   price-demand data for corn. Find a linear regression model for the price-supply data where x is supply​ (in billions of​ bushels) and y is price​ (in dollars). Do the same for the price-demand data. Find the equilibrium price for corn.   Price ($/bu) Supply (billion bu) Price ($/bu) Demand (billion bu) 2.14 6.41 2.06 9.96 2.25 7.38 2.15 9.42 2.34 7.51 2.26 8.33 2.41 7.78 2.32 8.08 2.46 8.13 2.36 7.86 2.57 8.35 2.48 6.96   ...   Question content area right Part 1 Find a linear regression model for the price-supply data where x is supply​ (in billions of​bushels) and y is price​ (in dollars).   y=enter your response here ​(Type an equation using x as the variable. Round to two decimal places as​ needed.)

Part II: Joe and his Dream Porsche Joe is 16 years old and has decided that he wants a brand-spankin' new Porsche Boxter Convertible, but his mom says there's no way that he could ever afford it! So, Joe has decided to show his mom that he will be able to purchase his dream car at the age of 35 if he plans his finances just right. He's asked you to help him plan. A. How much will his car cost in 19 years? The following table shows the approximate MSRP (manufacturers suggested retail price) of a Porsche Boxter Convertible from 2004 to 2008. Create a scatter plot of the data and determine the line of best fit, finding an appropriate slope and initial value assuming it started in 2004.. Year MSRP 2004 $57 510 2005 $59 130 2006 $60 750 2007 $61 965 2008 $63 600 B. Financing Joe's new Porsche Joe knows that he will have to put 10% down on his car. To save up for this down payment, he plans on investing a set amount monthly, starting now, into Teen's Choice Financial's Interest Plus Savings…

How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data.   Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website.   (b) Would you say the correlation is low, moderate, or strong?  low moderate     strong Would you say the correlation is positive or negative?  positive negative     (c) Use a calculator to verify that          x = 67,           x2 = 1265,           y = 644,           y2 = 93,546,  and          xy = 10,544.  Compute r. (Round your answer to three decimal places.)  As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer.  Given our value of r, y should…

The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 3 108.426 141.781 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is S(t) = 9.44t + 84.182. 220 210- 200 190 180 170- 160 150 140 130 120 110 100 90 12 804

I need the right answer to a and b.