Based on the data shown below, calculate the regression line (each value to at least two decimal places) y = -0.84454 xx+ 26.93552 y 2 25.87 24.06 4 22.45 21.84 6 22.93 22.12 8 18.41
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- BASED ON THIS DATA, what does the r^2 values tell you? and the linear regression line is the information statistically significant?Based on the results of the regression, what would be the mose likely conclusion?Based on the data shown below, calculate the regression line (each value to two decimal places)y = ____ x + ____ x y 3 7.16 4 8.68 5 6.6 6 9.82 7 9.84 8 9.36 9 7.38 10 9.2 11 9.02 12 9.44 13 7.66 14 7.88 15 8.6 16 8.02 17 6.94
- Given the partial results from a linear regression model below, a sample size of 504, and ɑ=0.05, What is the F-Statistic for the overall model? Is it statistically significant? What is the R2 for the regression model above?Using the regression line attached. Based on only the above plot, one can conclude: a) height causes an increase in weight b) weight causes an increase in height c) taller people are more likely to weigh more than shorter people, at least in the sample on which this data is based d) a statistically significant predictive relationship between height and weight e) c and dUse the sample linear regression line Y^=2+3X for the data points below to answer the following questions. X 0 3 7 10 Y 5 5 27 31 1) What is the fitted value when X2=3? 2) What is the regression residual when X2=3?
- If the standard error of the estimate for a regression model fitted to a large number of paired observations is 1.75, approximately 95% of the residuals would lie within ______. −3.50 and +3.50 −1.75 and +1.75 −0.95 and +0.95 −0.68 and +0.68 −0.97 and +0.97Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = ____x + ______ x y 1 0.21 2 0.62 3 4.13 4 2.24 5 4.25 6 1.06which of the following regressions represents the strongest negative linear relationship between x and y? (Attached in picture provided)
- The following calculation have been made for the price of 12 stocks(x) on NSEo on a certain day along with volume of sales on share (y) . From these calculations.calculatep the regression equation of price of stocks on volume of shares sigma X=580, sigma Y= 370, sigma XY=11494, sigma X square=41658 Sigma Y square = 17206 ?Use these data and multiple regression to make predictions of the motel chain’s revenues during the next four quarters. Assume that advertising during each of the next four quarters is $50,000A sample of X and Y scores is taken, and a regression line is used to predict Y from X. If SSY' = 300, SSE = 500, and N = 50, what is(a) SSY?(b) the standard error of the estimate?(c) R2?