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 = iX 3Y1.55 2 7 63+i15.53.5X.

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Answered: Use StatKey or other technology to find…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.3: The Natural Exponential Function

Problem 43E

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Does Table 2 represent a linear function? If so, finda linear equation that models the data.
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:
A random sample of beef hotdogs was taken and the amount of sodium (in mg) and calories were measured. The data are in the table. Create a scatter plot and find a regression equation between amount of calories and amount of sodium. Then use the regression equation to find the amount of sodium a beef hotdog has if it is 138 calories and if it is 100 calories. Which sodium level that you calculated do you think is closer to the true sodium level? Why? Calories and Sodium Levels in Beef Hotdogs Calories Sodium 181 477 114 296 184 440 164 495 149 374 180 526 137 251 170 482 133 350 Select the correct scatterplot. 500 400 440 420 400 340 300 200 124010 15 120 125 18015 140 145 150 155 100 45 170 175 Jao Jas I80 4p. 500 400 440 420 400 300 340 300 200 I4oio is 120 125 180 135 140 J45 J50 153 100 165 170o 500 400 440 420 400 300 340 320 300 220 200 1240lio is 120 125 180 1 140 145 150 155 100 165 170 175 Jao Jas J0 4s. The regression equation is y= decimal places if necessary.) (Round to two…
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Use data on tab “printers data.” --Run a regression with “Cartridges” as the dependent variable and “Printers” as the independent variable. Place the regression output at cell “I2.” --Create a scatter plot with “printers” as the x-axis and “cartridges” as the y-axis. Place the plot in cell “I22.” --In cell C2 type “Forecast.” In column C, create a cartridge forecast for each printer quantity --In cell D2 type “%error”. In column D calculate the percentage error for each forecasted quantity from each actual cartridge value. --In cell E2 type “ABS[A-F]” and in that column calculate the absolute value of each actual (column B) versus each forecast (column C). --In cell F2 type “Sum ABS[A-F]” --In cell F3 sum the values of column E --In Cell G2 type “MAD” --In cell G3 calculate the Mean Absolute deviation Printers Cartridges 19 57 15 60 15 60 15 75 16 80 14 42 10 40 12 36 20 80 19 76 17 85 19 76 18 72 12 48 17 85 13 65 17 68 11 55 19 76 14 42
please answer a and b thank you
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 79.3 Internet users per 100 people. How does it compare to the country's actual Nobel Laureate rate of 1.6 per 10 million people? Data Table Click the icon to view the data. Find the equation of the regression line. Internet Users Per 100 Nobel Laureates 79 5.4 (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) 79.6 24.4 78.7 8.6 The best predicted number of Nobel Laureates when the number of internet users per 100 is 79.3 is (Round to one decimal place as needed 45.3 0.1 How does it compare to the country's actual Nobel Laureate rate of 1.6 per 10 million people? 83 6.1 38.6 0.1 O A. The best predicted value is the opposite of the actual Nobel Rate. 90.6 25.1 O B. The best predicted value is equal to the actual Nobel Rate. 89.1 7.5 80.1 9 O C. The best predicted value is not…
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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 3 1.5 5 3 + i 2 1 7 5.5 6 3.5 X.