Based on the data shown below, calculate the regression line (each value to two decimal places) y%3D X + y 14.44 13.51 4 19.18 18.75 6. 22.32 23.49 8 25.06 30.73 10 33.1 11 32.37 12 35.54 13 39.01
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Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y…
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Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…
A: Topic:- regression equation
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Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…
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Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…
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Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…
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Q: Based on the data shown below, calculate the regression line (each value to two decimal places)y =…
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Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…
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- For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracyFor the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
- Use the following data to perform a regression analysis. What is the null hypothesis? What is the alternative Hypothesis? What is the R2 Month Sales 1 132 2 131 3 134 4 140 5 141 6 142 7 144 8 143 9 146 10 145 11 148 12 148The following regression model was fitted to sample data with 12 observations: ŷ = 30 + 4.50x. What is the predicted value of y for a given value of x = 6? 57.00 43.40 4.50 36 30A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 -3.361 0.0057 FDI -396.99 160.66 -2.471 ** S =2.45 R-sq = 96.3% R-sq (adj) = 95.3% (a) Fill in the missing values ‘**’, and ‘??’ (b) Hence test…
- A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 -3.3611 0.0057 FDI -396.99 160.66 -2.471 0.0000 S =2.45 R-sq = 96.3% R-sq (adj) = 95.3% Analysis of Variance Source DF…A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 * 0.0057 FDI -396.99 160.66 -2.471 ** S =2.45 R-sq = 96.3% R-sq (adj) = 95.3% Analysis of Variance Source DF SS…A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+???? Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 * 0.0057 FDI -396.99 160.66 -2.471 ** S =2.45 R-sq = 96.3% R-sq (adj) = 95.3% Analysis of Variance Source DF SS…
- Paul Consultancy took a random sample of the monthly office rents per square meter and the percentage of vacancy office space in fifteen different cities. The results are shown in the table: (Use 3 decimal places) Vacancy rate Monthly rent 15 8000 12 7500 11 5300 8 6200 6 4500 10 5000 9 6000 9 6500 12 7000 20 10000 21 9500 15 9000 8 7500 9 8800 20 11000 Determine the following: a: ? b: ? r: ? r2: ? MS regression: ? MS residual: ? F ratio: ? F0.05: ?Use the following data to perform a regression analysis. What is the regression equation? Is it significant? How can you tell? What is the forecast for month 13? Month Sales 1 132 2 131 3 134 4 140 5 141 6 142 7 144 8 143 9 146 10 145 11 148 12 148Using the previous regression model, what salary would you expect a student with a 3.1 GPA to expect? Round your answer to 1 decimal and express in $1,000's (same format the Salary variable has in the Excel dataset).
