Consider the following Excel regression output of Data Analysis (picture is autornaic) SUMMARY OUTPUT six data points on a restaurant bill and corresponding tip Bill Line Fit Plot 0.828159148 R Squa...
can you do 32 and 33 for me plz ? just 2 multiple choices thanks Consider the following Excel regression output Date Analysis (picture is automatic) SUMMARY OUTPUT output of six data points on a restaurant bill and corresponding tip. Bill Line Fit Plot R Square 0.828159148 0.685847574 0.607309468 3.265807868 R Square Stendard Error Total 10.66550103 Coefficients Standard Evor 0,347279172 .936081493 D.08872967 0.9 9551584 32) Choose correct correlation interpretation: (a) Positive correlation of 0.83- strong corelation. Percentage of variation explained...
can you do 36 for me? 34) Choose correet F-test interpretation: (a) F-ratio shows that explained variation (mean regression surm a) F-rntio shows that explained variation (mean regression sum of 9u2r60 residual error sum of squares) confinming insignificance (p-va of squares) is 8.7 times of unexplained (mean squares) is 93.1 times of unexplained (mean squares) is 0.93 times of unexplained (mean of squares) is 8.7 times of unexplained (mean 0,42 0.05) (b) F-ratio shows that explained variation (mean regression sumo...
4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: 0.04 + 0.28X1 + 0.84X2-0.06x3 + 0.14x4 y She would like to conduct significance tests for a multiple regression relationship. She uses the F test to determine whether a significant relationship exists...
Consider a multiple regression model of the dependent variable y on independent variables x1, X2, X3, and x4: Using data with n 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: y0.35 0.58x1 + 0.45x2-0.25x3 - 0.10x4 He would like to conduct significance tests for a multiple regression relationship. He uses the F test to determine whether a significant relationship exists between the dependent variable and He uses the t...
(10 points) The following regression output is available. Notice that some of the values are missing. Predictor Coef SE Coef T P Constant 5.932 2.558 2.320 0.068 x 0.511 6.083 0.001 Analysis of Variance Source DF SS MS F P Regression 648.72 648.72 57.20 0.001 Residual Error 56.70 Total 16 705.43 Based on the information given, what is the value of sum of squares of the X’s (SSxx)? 7626.92 23.142 535.591 None of the above 1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
Please provide excel formulas Stat 3309 - Statistical Analysis for Business Applications I Consider the following data representing the total time in hours) a student spent on reviewing for the Stat 3309 final exam and the actual score on the final. The sample of 10 students was taken from a class and the following answers were reported. time score 0 23 4 30 5 32 7 50 8 45 10 55 12 60 15 70 18 80 20 100 Part...
Use the Regression tool on the accompanying wedding data, using the wedding cost as the dependent variable and attendance as the independent variable. Complete parts a through c. Click the icon to view the wedding data. a. What is the regression model? Wedding Cost =+Attendance (Round to three decimal places as needed.) b. Interpret all key regression results, hypothesis tests, and confidence intervals in the regression output from part a. Interpret the slope of the regression equation. Choose the correct...
Chapter 12 Project: Linear Regression and Correlation Student Learning Outcomes: • The student will calculate and construct the line of best fit between two variables. • The student will evaluate the relationship between two variables to determine if that relationship is significant Data The table below gives total fuel efficiency (in miles per gallon) and mass (in kilograms) of 20 new model cars with automatic transmissions. We will use this data to determine the relationship, if any, between the fuel...
orrect Question 7 0/1 pts The amounts of 6 restaurant bill x (in dollars) and the corresponding amounts of the tips y (in dollars) are given below Bill 32.98 49.72 70.29 97.34 43.58 52.44 Tip 4.50 5.28 10.00 16.00 5.50 7.00 The regression equation is ý = 0.19.2 - 2.73, and the coefficient of determination r2 = 0.97. Based on the given r, which of the following conclusions may be made? Hint: Correlation is r, we are given p2. Thus...
(1 point) Can the cost of flying a commercial airliner be predicted using regression analysis? If so, what variables are related to this cost? A few of many variables that can potentially contribute are type of plane, distance, number of passengers, amount of luggage/freight, weather condition, direction of destination, or even pilot skill. Suppose a study is conducted using only Boeing 737s traveling 800 km on comparable routes during the same season of the year. Can the number of passengers...