Question

Provide an examplewhere unsupervised learning (categorical response) would be used as the analysis. Describe the predictor(s),...

Provide an examplewhere unsupervised learning (categorical response) would be used as the analysis. Describe the predictor(s), the response variable, and explain whether prediction or inference would be of primary interest.

Homework Answers

Answer #1

I use Logistic regression when my response variable is categorical in nature. but for the application of Logistic regression it is required that the response variable has only two categories. suppose I want to predict the probability of default for a credit card company. here the dependent variable is type of default which can be either yes (1) or no (0). The independent variable are the income and age. The equation of Logistic regression in this case is given by: P = e^(bo+b1*x1+b2*x2)/(1+e^(bo+b1*x1+b2*x2)). beta1 indicates the change in Probability for default with a unit increase in income. beta to indicate the change in probability of default with 1 year increase in age.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In a regression analysis used to explain Consumption, Income was used as a predictor variable. Part...
In a regression analysis used to explain Consumption, Income was used as a predictor variable. Part of the output is shown below: Coefficient=10.6 Standard Error=1.1188 t Statistic=8.93 p-Value=0.0030 Income. What can we conclude about Income as a predictor of Consumption? Income is not a useful predictor of Consumption. Income is a useful predictor of Consumption.
Explain whether each scenario below is a regression, classification or unsupervised learning problem. If it is...
Explain whether each scenario below is a regression, classification or unsupervised learning problem. If it is a supervised learning scenario, indicate whether we are more interested in inference or prediction. Finally, provide in each case the number of observations, n, and the number of predictors, p. (a) Oil excavation is a very expensive process and the oil resources are not distributed uniformly in an area, so it is important to find the best spots for oil extraction. To do this...
Explain whether each scenario below is a regression, classification or unsupervised learning problem. If it is...
Explain whether each scenario below is a regression, classification or unsupervised learning problem. If it is a supervised learning scenario, indicate whether we are more interested in inference or prediction. Finally, provide in each case the number of observations, n, and the number of predictors, p. (a)A policy analyst is interested in discovering factors that are associated with the unemployment rate across different U.S. cities. For each of 400 cities, the policy analyst gathers the following data: the population, state,...
1. Identify the type of data that would be used to describe a response, and give...
1. Identify the type of data that would be used to describe a response, and give an example of the data. (Qualitative, Quantitative Discrete, Quantitative Continuous) a. Number of books you read this semester. b. The height of a baseball player in UHV baseball team. c. The time it takes to drive to campus. 2. The marketing manager for an electronics chain store wants information about the ages of its customers. Over the next two weeks, at each store location,...
Each of the following scenarios would be described with a regression analysis. State the response variable,...
Each of the following scenarios would be described with a regression analysis. State the response variable, The explanatory variable (S), if any. Be sure to state units were appropriate. We would like to explain the annual salary over employees (in thousands of dollars) which data showing their years of experience and education level (high school, college, or graduate degree). We own a pizza franchise and have data regarding a city’s median income (in dollars), average number of individuals for household,...
This project is related to statistical inference about the difference between two population parameters and the...
This project is related to statistical inference about the difference between two population parameters and the analysis of variance. You need to formulate hypotheses testing and confidence estimation as you learned in class. Each group must collect data related to the topic of their choice. You should specify your parameter of interest and the claim, make the hypotheses, perform test calculations and estimation, and make a conclusion. specify your parameter of interest and the claim, make the hypotheses, perform test...
Describe the type of analysis that would be performed in each situation, selecting from the options...
Describe the type of analysis that would be performed in each situation, selecting from the options below. Using complete sentences, explain your reasoning. Types of analysis:     Confidence interval for a population proportion Confidence interval for a population mean (z-interval) Confidence interval for a population mean (t-interval) One-sample z-test for population proportion One-sample z-test for population mean One-sample t-test for population mean A company claims that “Nine out of 10 customers would recommend us to a friend”. A researcher thinks this...
1.   Regression analysis is to be conducted with data from vegetarians to see whether the number...
1.   Regression analysis is to be conducted with data from vegetarians to see whether the number of grams of protein each ate per day was related to diastolic blood pressure.   The resulting regression formula will be used by medical personnel to predict blood pressure in a weight loss clinic in downtown Pittsburgh. Subject Grams of protein Diastolic BP 1 4 73 2 6.5 79 3 5 83 4 5.5 82 5 8 84 6 10 92 7 9 88 8...
A team of researchers used the Survey of Consumer Attitudes to investigate whether incentives would improve...
A team of researchers used the Survey of Consumer Attitudes to investigate whether incentives would improve response rates on telephone surveys. A national sample of 735 households were selected for the survey. 368 households were randomly assigned to receive a monetary incentive and of these 286 responded to the survey. The other 367 households were assigned to only receive an advance letter and of these 245 responded to the survey. Identify the observational units in this study. Describe in words...
Scenario 2: Differences from Dad Fathers transmit many more new mutations than do mothers to their...
Scenario 2: Differences from Dad Fathers transmit many more new mutations than do mothers to their babies at conception. These mutations occur from copying errors during sperm production. A recent study investigated whether the father’s age affects this process; authors used complete genome sequencing on n = 21 father-child pairs to tally the total number of new mutations inherited from each father. Results of the associated regression analysis are shown below: Question 7 (1 point) Suppose a father had a...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT