This is a bus 173 question please solve Q1 &Q2

8:47 0 E 2': :'A I, 6 Document View Answer all the questions. You must show the calculation. Q1. Determine whether the following statements are TRUE or FALSE. (a) A regression model has the form: Y = 5.25 - 3.25X. As X increases by one unit, the value of y will be decreased by 2 units, on average. (b) In simple linear regression, the coefcient of correlation and the least squares estimate of the population slope must have the same sign. (c) If all the points in a scatter diagram lie on the least squares regression line, then the coefficient of correlation must be 0, (d) In a simple linear regression problem, a coefficient of deterrrrination 0.6 means that 60% of the variation in y can be explained by the variation in it. (e) Multicollinearity is present when there is a high degree of correlation between the independent variables included in the regression model. Self-reported scores in the final exam and time spent on social media (in hours per day) by 8 students are provided below. Time Spent on Social Media (a) Find the estimated least square regression line (b) Interpret the estimated intercept and slope coefficients (c) Test at 2% level of significance that the slope coefficient B is different from zero, (11) Find the 95% confidence interval for the mean scores for students who spend 5 hours per day on social media. Interpret your result. SPSS results of multiple regression model from a damset of 32 employees are provided below for independent variables Aptitude, Experience (years) and Shift (day = 1, night :0), Qgslglenis. Unstandardized Standardized \"- \"- (Constant) Aptitude Experience . . Shi . .661 -15.420 a. Dependent Variable: Performance (a) Find a 95% condence interval for coefcient of \"Shift\" and interpret your result 3 (b) Predict the performance of an employee with aptitude score 80, experience of 2 years 1 and working at the night shift. Page 1 of 2 Q4. Annual sales (in million dollars) by a chain shop are provided below. (a) Compute 3rd order moving average for data smoothing, visualize the smoothed data in a scatterplot and comment on the trend. (b) Obtain forecast for the year 2020 from the trend model it = 9.04 + 3.70t 0.51t2. (c) Justify the quadratic trend model based on your results in (a) and (b). The End 1135513 El Helpful Unhelpful Ask Expert Tutors