The accompanying data file contains salary data (in $1,000s) for 30 college-educated men with their respective BMI and a dummyvariable that represents 1 for a white man and O otherwise. Model 1 predicts Salary using BMI and White as predictor variables. Model2 includes BMI and White along with an interaction between the two.Click here for the Excel Data Filea-1. Use the holdout method to compare the predictability of the models using the first 20 observations for training and the remaining10 observations for validation. Report the estimates of Models 1 and 2 derived from the training set.Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.Predictor Variable Model 1 (No interaction) Model 2 (Interaction)ConstantBMIWhiteBMI X WhiteRMSEa-2. Calculate the RMSE of the two models in the validation set.Note: Do not round Intermediate calculations and round your final answers to 2 decimal places.Model 1-0.96a-3. Which model is better for making predictions?Model 1 (No interaction) Model 2 (Interaction)Average RMSEbecause its RMSE is-0.73Towerb-1. Use the k-fold method, with k= 3, to calculate the average RMSE of the two models.Note: Do not round Intermediate calculations and round your final answers to 2 decimal places.Model 1 (No interaction) Model 2 (Interaction)A1A1 Salary2 343 434445 346 347538 429 3710 3511 4612 4613 3414 45153316 2517 3218 4619 3120 54213722 42233824 4525 3826 4127 3928 5029 4130 3831 453233343536דיBMI3326263536202026282220352634293018311923B27301826282820262821X✓ fx SalaryсWhite111011011110100100101100111111+ ⠀D

The data file contains salary data for 30 college educated men with their respective BMI & dummy…

Answered: The accompanying data file contains…

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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6. Assume that the scatterplot shows the median volume and median value of used cars over the years in the UK used car market. (a) As the data are graphed, which is the independent and which is the dependent variable? (b) Why do you suppose median value and volume have been used instead of the mean? (c) Using the graph, estimate the median value of sales if the median volume of used cars sold is 2.3 million. (d) Use the equation to predict the median value of sales if the median volume of used cars sold is 2.3 million. (e) What other factors besides the price of used cars might influence the volume of used cars sold? Value = 30.97 – 1.211 Volume 40 35 30 25 20 - 15 10 - 0+ 1.5 2 2.5 Median Volume of Used Cars Sold (in millions) Median Value of Used Car Sales (in billions of pounds)
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A music critic was interested in whether particular variables measured on a song change over time. Two variables the critic considered were a song’s Tempo (in bpm) and a song’s Danceability. We will use the songs written before the year 2000 from the original SpotifySample data set. The data set that you will use to complete this investigation is called SpotifyB2000 and consists of 483 songs. Write the least-squares regression line equation describing Year and Danceability usingproper notation and values. Interpret the slope of the regression line for Year and Danceability in context. Would the interpretation of the y-intercept for Year and Danceability be meaningful? Ifso, interpret it. If not, state why not in one sentence. Calculate and record the coefficient of determination value r2for Year and Danceabilityand interpret this value in context. State the hypotheses for the test of the slope. Write the p-value found in the output from (n), and use the p-value provided in the…
Explain why a 3 way interaction will have more regression lines than a 2 way interaction.
Find an interesting instance where two variables are strongly correlated, but share no causal link. Explain the situation, describe the variables, and explain why it doesn't make sense for the data to be correlated.
pls help! Cell phone production engineers have noticed that among a group of 138 customers aged 14-23 who send more text messages tend to use a higher percentage of their phone’s memory. What are the explanatory variable and response variable for this relationship? Explanatory variable: age of customerResponse variable: percentage of phone memory used Explanatory variable: percentage of phone memory usedResponse variable: age of customer Explanatory variable: number of text messages sentResponse variable: percentage of phone memory used Explanatory variable: percentage of phone memory usedResponse variable: number of text messages sent
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
Alpha equals 0.01 level of significance for the given sample data.
Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called "UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?
One of the biggest changes in higher education in recent years has been the growth of online universities. The Online Education Database is an independent organization whose mission is to build a comprehensive list of the top accredited online colleges. The following table shows the retention rate (%) and the graduation rate (%) for 29 online colleges.a). Use Excel Data Analysis Tool – Regression to get the relationship between the two variables;b). Create a scatter diagram for the two variables and display regression equation and R square on chart, then explain the relationship between the variables;c). Did the estimated regression equation provide a good fit?d). Suppose you were the president of South University. After reviewing the results, would you be able to use the regression result for forecasting. College RR(%) GR(%) Western International University 7 25 South University 51 25 University of Phoenix 4 28 American InterContinental University 29 32 Franklin…
Melinda thinks that stress might predict lower grades on a statistics final exam. She gives a sample of statistics students a questionaire and then looks for relationships between their answers and their final exam scores. Although she finds no support for her original hypothesis, she does find that the the numbers of hours that students work outside of school is related to exam performance. When she reports the results of her study, she presents them as if the relationship between number of hours worked and exam performance was her original hypothesis. This is a questionable research practice known as: a. open science b. p-hacking c. HARKing d. constraints of generality

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