final 5080_2024

The proportion of variance explained by a principal component (PVE) is the variance of this principal component over the total variance of the dataTrueFalse

Find the dissimilarity matrix of the following dataset: Student Test-1 (nominal) Test-2 (nominal) Test-3 (ordinal) Test-4 (numeric) 1 Code-A Code - I Excellent 80 Code-B Code - I Fail 20 3 Code-C Code - II Fail 100 4 Code-A Code - II Pass 60

Given the following values (200, 400, 800, 1000, 2000): Calculate their mean, variance, and standard deviation. Normalize them using min-max normalization with and . Normalize them using z-score.

calculate mean median and mode for the following data pertaining to marks in statistics out of 140 marks for 80 students in a class

Find out the transformed value ? Arthemetic mean is 32 and standard deviation is 24 then value 70 is transformed , what is that value using zero - score normalization.

Which one of the following statistics is resistant to outliers? (A) mean B) range Q1 D standard deviation

Q3

The R function for logistic regression is:    Question 21 options:   logit   exp   lm   glm

Which of the following correctly represents the coefficient of determination in terms of the variance that is an output from the analysis of variance table?

Which of the following statements are true for bias and variance O Classifiers with low bias typically have low variance Classifiers with low bias typically have high variance Bias and variance typically do not have any dependency on each other

Software randomization: how? How should rand function values be resized or shifted?

Calculate the Theil index and the Atkinson index (use   = 1) of house-hold income for all households and by race (in other words, calculate the inequality measures within racial categories).   what would be the code for the above question in stata?

What is the source of variation when analysing Bootstrap estimates, say 1000 estimates of R squared?

8. Commuting Times The U.S. Census Bureau reports that the average commuting time for citizens of both Baltimore, Maryland, and Miami, Florida, is approximately 29 minutes. To see if their commuting times appear to be any different in the winter, random samples of 40 drivers were surveyed in each city and the average commuting time for the month of January was calculated for both cities. The results are shown. At the 0.05 level of significance, can it be concluded that the commuting times are different in the winter? Miami Baltimore Sample size 40 40 Sample mean 28.5 min 35.2 min Population standard deviation 7.2 min 9.1 min

For interval data, what correlation coefficient would you use?

If consumption_expenditures is given for the official poverty line, how can we calculate the official poverty line by age and sex  in STATA?  what is the code.

Please help step by step with explanation for Program R (CS) with a final code for understanding thank you.

What Is The sample linear correlation?

Please use MATLAB

ce_S1_Mangesh / My courses/55 ITSE415_AppDataSci_S1 / Chapter 4- Data Preprocessing / Quiz 2 - 10 June 2021 Quiz navigation When we try to analyze the result-data of the last 10 semesters for the subject 'Programming-1' and if you are asked to find what will be the final score of any new student based on the value of his Quiz 2 marks, then what type of analysis is this? of Finish attempt- O a. Prescriptive Analysis Time left 0:17:27 tion O b. None of these Oc. Predictive Analysis O d. Descriptive Analysis Next page Jump to.. pter 4- Presentation

Given that the mean for a data set is 24.8 and the standard deviation is 2.3, find the z-score of the number 27 in this set. Group of answer choices -0.96 0.96 0.83 1.00

PLEASE USE RSTUDIO A car dealer wants to find the relationship between the odometer reading and the selling price of used cars. A random sample of 6cars is selected, and the data recorded. Car  Odometer  Price1       37388      146362       44758      141223       45833      140164       30862      155905       31705      155686       34010      14718   a.Identify the independent and dependent variables. b.Look for the least squares regression line and R-squared. c.Predict a response variable at your choice of predicted variable that is not in the given with corresponding confidence interval. d.Create a scatter plot with the regression line and labels.e.Is the regression line a better fit? PLEASE USE RSTUDIO

In using KNN for regression, the predicted value is the neighbours of its K nearest neighbours, while for classification it is the of its K nearest

pandas python how to check for outliers for the culomn variable. subset the dataframe given z-score>3 or z-score <-3 and save it in dataframe named displacement_outliers. print the outliers dataframe

WHAT IS R LANGUANGE COMMAND FOR THIS QUESTION?