Which of the following is used to illustrate the “best guess” as to the predicted Y variable score based on X? Group of answer choices regression line standard error of the estimate scatter plot F equation
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- Why this type of plot is used in analysing regression modelsJ 1 The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response why variable is city fuel consumption in miles/gallons. The predictor X variables are weight weight in pounds, DISP engine displacement leaders NHW Y Highway fuel consumption in miles/gallons. It's only one predictor X variable is used to predict the city fuel consumption, which single variable is best? Why? The best variable is (WT/HWY/DISP) because it has the best combination of (large/small) p-value, (answer) and (large/small) adjusted R^2 (answer) (type integers are decimals. Do not round)tot Consider the scatterplot given above. Which of the following could be the value of r? O A. 0.913 О В. -0.124 O C. -0.906 O D. 0.725 Given that the regression line has a slope of 0.345 and a y-intercept of - 0.296, find the slope-intercept equation of the regression line. y =| Use the regression line to predict the y-value for the x-value of - 0.627. (Round to three decimal places). y =
- QUESTIONS ---- D AND FWhich of the following denotes the slope or the regression coefficient for X? A) The term a B) The term b C) The error term D) The correlation coefficient, rQuestion. Using the following regression result, make your answers to the questions. Call: Im(formula - wage - educ, data - data) Residuals: 10 Median -5.1579 -2.5066 0.3816 2.4539 4.4737 Min 30 Max Coefficients: Estimate Std. Error t value Pr(>1tl) (Intercept) 9.0526 educ 5.1420 1.761 0.11635 2.1842 0.5994 3.644 0.00655 ** --- Signif. codes: 0 ***** 0.001 *** 0.01 ** 0.05 . 0.1' 1 Residual standard error: 3.305 on 8 degrees of freedom Multiple R-squared: 0.6241, F-statistic: 13.28 on 1 and 8 DF, p-value: 0.006549 Adjusted R-squared: 0.5771 1) Using the estimate and standard error of educ variable, perform the following hypothesis test. Ho:Beduc = 0 H1: Beduc # 0 2) Interpret the above hypothesis test result.
- Engineer/Stats/Economics. Entry Level Salary (of 500 MBAS) was regressed on X1: MBA CGPA, X2: Undergrad CGPA and whether the student was Dummy 1 = 1 for Engineer; Dummy 2 = 1 for Stats. The output from a Statistical package is given below. Answer the questions that follow. Variable Intercept X1 X2 Dummy 1 Dummy 2 Parameter Estimates Coefficient Std Error t Value P Value 1.41 3.20 2.12 3.10 2.00 3.21 6.82 5.25 2.60 3.93 2 1 O www.w 2.28 2.13 2.48 0.84 1.97 0.02 0.03 0.01 0.40 0.05 What is the advantage of Statistics over Economics? Std Estimates VIF 90% Conf Limits 0.89 0.70 1.88 6.55 0.35 11.00 4.94 0.20 1.45 -4.37 0.10 4.20 -0.57 5.53 12.08 8.74 7.70 7.22 Explain your inference from the QQ Plot List the variables accepted at alpha - 10%? Explain which independent variable is most collinear with the other independent. variables? Which variable is influencing the dependent variable the maximum? IAnswer these questionslongley is a built-in R data.frame which is sometimes used in economics to study regression. We are interested in some descriptive statistics related to the Employed column of the longley data.frame. We can access this data directly by using the assignment x <- longley$Employed (In R, use ? Longley for info on this data) The values of x if assigned as above are: [1] 60.323, 61.122, 60.171, 61.187, 63.221, 63.639, 64.989, 63.761 [9] 66.019, 67.857, 68.169, 66.513, 68.655, 69.564, 69.331, 70.551 You should get these values from the R assignment above rather than manually entering the data. b. Calculate the 3rd quartile of x using the R summary function c. Calculate the sample range & median of x h. What proportion of the x values are less than 1 sample standard deviation from the sample mean? k. How many of the elements of x are smaller than the sample mean of x?
- Two variables are defined, a regression equation is given, and one data point is given. Study = number of hours spent studying for an exam Grade = grade on the exam GRADE= 41.0 + 3.7 (STUDY) THE DATA POINT IS A STUDENT WHO STUDIED 10 HOURS AND RECIEVED AN 81 ON THE EXAM…Pls help me answer thisB and c