In running a logistic regression, a statistician decided to include decade of life (20s, 30s, 40s, 50s, 60s) as a categorical variable in the systematic component because they didn’t believe the relationship between the log-odds and age was linear. Using dummy variables to create the systematic component, how many dummy variables would be needed to represent age?[Text box for answer]

A statistician is running a logistic regression and decides to include the decade of life (20s, 30…

Answered: In running a logistic regression, a…

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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Run a regression where you control for “Promotion,” and test the effect of “Wins” on “Attendance”. What percent of the change (variation) in “Attendance” is explained by “Wins”? How do you know? Wins Promotion Attendance 4 29500 36300 6 55700 40100 6 71300 41200 8 87000 53000 6 75000 44000 7 72000 45600 5 55300 39000 7 81600 47500
In running a correlational analysis, a researcher may have three possible results. Make your research of what does positive correlation, negative correlation and no relationship means.
Find the correlation coefficient between the “modules studied in the last semester and number of hours spend on reading the books” from your collected data.
How do I tell if my data is symmetrical. Previously, my data was right-skewed. I was prompted to take the natural log, but now how do I tell if it is more symmetrical or not? It doesn't look more symmetrical looking at the box plot, but I think it could be looking at the histogram. I have included box plot, but I think it would be best if you could see the first box plot and histogram -- not sure how to include more than one image. Shift in Median and Mean: mean duration of stay: 8.8 days median duration of stay: 7 days mean of log-transformed durations: 2.12 days median of log-transformed durations: 2.08 days
What does it mean for a regression line to be the "best-fit" line.
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10) A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.767 b=31.009 r2=0.609961 r=-0.781 Use this to predict the number of situps a person who watches 7.5 hours of TV can do (to one decimal place)
A correlation of 0.95 for two variables X and Y implies that if X increases, there is a 95% chance that Y will also increase. Is this statement true or false?
Below is some of the regression output from a regression of the amount various customers paid for a new car (expressed in dollars) versus the age of the customer (expressed in years), the number of previous cars the customer had purchased from the dealership in the past, a dummy variable indicating the gender of the customer (=1 for a Man and = 0 for a woman), and an interactive term the multiplies the age of the customer with the gender dummy variable. Regression Statistics Multiple R 0.963 R Square Adjusted R Square Standard Error Observations 20 ANOVA df SS MS F Significance F Regression 24686354.49 6171589 47.8 2.3289E-08 Residual 129243 Total 26625000…
A research study was conducted at a local college collecting data on the models (brands) of cars parked in the student parking lot. This type of data collected would be considered/described as Qualitative Data or Quantitative Data?
How does linear regression differ from analysis of variance?
You work as a data scientist for a real estate company in a seaside resort town. Your boss has asked you to discover if it's possible to predict how much a home's distance from the water affects its selling price. You are going to collect a random sample of 7 recently sold homes in your town. You will note the distance each home is from the water (denoted by x, in km) and each home's selling price (denoted by y, in hundreds of thousands of dollars). You will also note the product x.y of the distance from the water and selling price for each home. (These products are written in the row labeled "xy"). (a) Click on "Take Sample" to see the results for your random sample. Distance from the water, .x (in km) Take Sample Selling price, y (in hundreds of thousands of dollars) xy Send data to calculator Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. When you are done, select "Compute". (In the table…

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