A statistician is employed by a car industry. They wish to establish the relationship between a set ofpredictors and an outcome variable, which is mpg (miles per gallon) in this case. The original datasetis a data frame of 32 observations and 11 variables. Below is a snippet of the dataset.Mazda RX4mpg cyl disp hp drat wt qsec vs am gear carb6 160.0 110 3.90 2.620 16.46 01 4421.021.06 160.0 110 3.90 2.875 17.0201 44Mazda RX4 WagDatsun 7104 108.0 93 3.85 2.320 18.611141Hornet 4 Drive3Hornet Sportabout22.821.418.718.114.336 258.0 110 3.08 3.215 19.44 108 360.0 175 3.15 3.440 17.02 006 225.0 105 2.76 3.460 20.22 108 360.0 245 3.21 3.570 15.84 00Valiant3Duster 36034Merc 240D24.4 4 146.7 62 3.69 3.190 20.00 1 04 140.8 95 3.92 3.150 22.904Merc 23010422.819.26 167.6 123 3.923.440 18.3014Merc 280Merc 280C17.86 167.6 123 3.92 3.440 18.90 1416.43 3Merc 450SEMerc 450SLMerc 450SLC8 275.8 180 3.07 4.070 17.40 008 275.8 180 3.07 3.730 17.60 0 015.2 8 275.8 180 3.07 3.780 18.00 0017.333The forward method for selecting the optimal set of predictors can use the AIC orBIC. Describe the model selection method, including the definition of the AICand BIC.000

mtcars dataset>head(mtcars) M mpg cyl disp hp drat wt qsec vs am gear carb…

Answered: A statistician is employed by a car…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A student has completed 20 courses in the School of Arts and Sciences. Her grades in the 20 courses are shown below: A B A B C ссввв ВАВ Вв свсв А 1. Define a best variable name for the given data. (You must use the name in the Excel). 2. What is the type of variable?
Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)? *Hint: which one may predict the other? Example: hot weather may predict sunburns.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.4 6.6 13.7 11 9.3 X = thousands of automatic weapons y = murders per 100,000 residents 3.7 7.5 This data can be modeled by the equation y = Answer = 2.4 2.6 2.4 0.4 6.3 5.9 6.2 4.1 to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = 0.84x +4.01. Use this equation A) How many murders per 100,000 residents can be expected in a state with 6.2 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 6.9 thousand automatic weapons? Round to 3 decimal places.
Christine is a sales manager for a car rental company. She has a scatterplot with data regarding the years of experience of sales representatives and percent of satisfied customers. What information would the scatterplot below indicate? Select all that apply. 100 90 80 70 50 40 30 20 10 1 3 5 6 7 Years of Experience of Salesperson O Satisfaction rate is the independent variable. O Satisfaction rate is the dependent variable. O Years of experience is the independent variable. O Years of experience is the dependent variable. O Christine should consider customer satisfaction training for her more novice representatives. O There is a positive correlation between years of experience and customer satisfaction. O There is a negative correlation between years of experience and customer satisfaction. O There is no correlation between years of experience and customer satisfaction. Percent of Satisfied Customers
Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=?+?AGE+?MIL+?ENG Where SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values ‘*’, ‘**’, and ‘***’.
Considering yourselves to be observational units, explain why the following are not variables: Average amount of hours worked in the past 24 hours among students in our class. Proportion of students in our class who are first-generation college students Have left-handers read more Harry Potter books, on average, compared to right-handers?
Suppose you pulled info regarding the sex of the victim and offender for murders in the United States. The data look something like this: Sex of Vic. Sex of Off. F M F 124 421 M 1609 3725 Assume that the sex of the victim is the response variable. What is the relative risk of being killed by female offender for male victims?
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
Select the most appropriate response. If the correlation between a person’s age and annual income is 0.60, then the coefficient of determination tells us that: 36% of the variation in a person’s annual income can be explained by the predictor variable age. 36% of a person’s annual income can be explained by their age 60% of the variation in a person’s annual income can be explained by the predictor variable age 60% of a person’s annual income can be explained by their age
A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 4.2 (s = 5.4) for the 149 females and 2.8 (s=4.2) for the 190 males. Complete parts a through c below. 000 DOD F4 What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x₂. B. The standard error is the standard deviation of the difference between x₁ - x₂. OC. The standard error is the standard deviation of the sample for this study. OD. The standard error is the difference in standard deviations for the two populations. ... b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is (Round to two decimal places as…

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