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- Compute the sum-of-squares error (SSE) by hand for the given set of data and linear model. (6, 6), (7, 7), (9, 10); y = x − 1For these (x,y) pairs of data points: 1,5 3,7 4,6 5,8 7,9 Compute . Compute . What is the equation of the regression line?Suppose a bee follows the trajectory, at what values of T is the bee flying vertically and or horizontally?
- Find the curve of best-fit y = axb to the following data by using the method of least square.The amount of time a student devotes to class attendance and revision: and the grade obtained are assumed to be linearly related. In a small class of 15 students, the following results were obtained for this linear relationship. Y = 30 +2.50.Y (0.55) (2.96) R'= 0.85 The standard errors are in parenthesis. a,Test the hypothesis that the intereept and slope are individually equal to zero (0) at the S% level of signiticance. (b) Construct n 95% conlidence interval for the true slope. (c)Compute the elasticity of grades with respect to time input and interpret your results. (d) Interpret your R' and explain how it relates to the slope of the regression line. (e) From the results and your answers in (a) to (d), does time input into class attendance and revision really influence the final grade?Given are five observations for two variables, x and y. xi 3 8 12 18 20 yi 54 57 50 24 11 -select your answer choices- b. The least squares line provided an (good, bad) fit; __ % of the variability in y has been explained by the estimated regression equation (to 1 decimal)
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