Use StatKey or other technology to find the regression line to predict Y from X using the following data. Click here to access StatKey. Round your answers to three decimal places. The regression equation is Y = i X Y 6 3.5 10 4 8 + i 2 14 12 12 8.5 X.
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- The table gives the amount of money (in dollars) spent on football by a major university. Letting a represent the number of years since 2005, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2005 2006 2007 2008 2009 2010 Dollars spent on football 165,000 196,000 210,000 226,000 242,000 279,000 The equation of the line of best fit is: Hint Predict the amount of money that will be spent on football in the year 2024. +A Predict the amount of money that will be spent on football in the year 2041.The table gives the amount of money (in dollars) spent on football by a major university. Letting xx represent the number of years since 2008, and letting yy represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2008 2009 2010 2011 2012 2013 Dollars spent on football 169,000 197,000 210,000 222,000 245,000 285,000 The equation of the line of best fit is: Hint Predict the amount of money that will be spent on football in the year 2026. $ Predict the amount of money that will be spent on football in the year 2041. $Refer to the data set: Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round to two decimal places if necessary.Part c: Use the equation from Part b to determine y when x = -3.6.
- The table gives the amount of money (in dollars) spent on football by a major university. Letting r represent the number of years since 2010, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. 2010 Dollars spent on football | 166,000 Year 2011 2012 2013 2014 2015 194,000 202,000 224,000 241,000 284,000 The equation of the line of best fit is: Hint Predict the amount of money that will be spent on football in the year 2023. Predict the amount of money that will be spent on football in the year 2043.State the regression equation and use it to predict taxes for a house with lot size 10K.Refer to the data set:Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 5.
- Roger, an account analyts made a regression analysis between sales (in P1000) and price (in pesos) resulted in the following equation: y = 50,000 - 9X The above equation implies that anThe table gives the amount of money (in dollars) spent on football by a major university. Letting x represent the number of years since 2006, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2006 Dollars spent on football 173,000 The equation of the line of best fit is: Hint 2009 2010 2011 2007 2008 19 000 210,000 223,000 243,000 271,000 Predict the amount of money that will be spent on football in the year 2022. Predict the amount of money that will be spent on football in the year 2041.find the intercept (b0) for the regression equation for the following values. Round to 3 decimal places. Intercept xi yi 33 180 25 170 50 200 65 127 57 160 27 165
- b. Find the equation of the regression line for the minutes the actor appeared shirtless in a film and the film's opening weekend gross. y = ___x + ____(Round to two decimal places as needed)Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest tenth. Using this equation, find the projected test grade, to the nearest integer, for a student with a homework grade of 55.Download/open DJIAS_P500.xlsx and run a regression report using DJIA to predict S&P 500. In the blank below, report the value of the regression coefficient that I corresponds to the slope intercept, bo. Round your answer to two (2) decimal places if necessary. Your Answer:
