2. The scatterplot below summarizes husbands' and wives' heights in a random sampleof 170 married couples in Britain, where both partners' ages are below 65 years.Summary output of the least squares fit for predicting wife's height from husband'sheight is also provided in the table.Wife's height (in inches)70656055606570Husband's height (in inches)75(Intercept)height husbandEstimate Std. Error43.57554.68420.28630.0686t value9.304.17Pr>t)0.00000.0000Is there strong evidence that taller men marry taller women? State the hypotheses andinclude any information used to conduct the test...b) Given that R² = 0.09, what is the correlation of heights in this data set?c)You meet a married man from Britain who is 5'9" (69 inches). What would youpredict his wife's height to he? How reliable is this prediction?d) You meet another married Brit who is 6'7" (79 inches). Would it be wise to use thesame linear model to predict his wife's height? Why or why not?

Question 2:The sample size is .The value of coefficient of determination is The summary output of…

Answered: 2. The scatterplot below summarizes…

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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Q1.2
Maxwell’s hot chocolate is concerned about the effect of the year-long coffee advertising campaign on the chocolate sales. The weekly hot chocolate sales from 15 locations (in this year) is collected and summarized in the following table. Descriptive Statistics N Sum Range Minimum Maximum Mean Std. Deviation Variance Sales 15 --- --- 20 197 24.80 3.53 12.46a) Calculate the missing values in the table (Sum and Range)b) The average sales was $26.6 last year and the manager of the firm claim that there is a decrease in the sales this year. Does the data provide sufficient evidence to support the claim of the manager at 1% significance level? Show your calculations in detail and interpret the result.
Select all true statements below (Multiple or none can be true). With a large, representative sample, the histogram of the sample data will follow the normal curve closely. If two lists of numbers have exactly the same average of 50 and SD of 10, then the percentage of entries between 40 and 60 must be exactly the same for both lists. Half of a list of numbers is always below its average. The median and average of a list of numbers are not necessarily close together.
c. Which of the following is the correct graph of the given data? -ОА. 10 1012 12 10 O C. 12- 81012 1012 Using the graph, explain the dramatic difference between the answers to parts (a) and (b). Choose the correct answer below. OA. The point (10,10) is not an outier, but it does have a strong effect on the least squares line and the correlation coefficient. OB. The point (10,10) does not have any effect on the least squares line and the correlation coefficient. OC. The point (10,10) is an outler that has a weak effect on the least squares line and the correlation coefficient. OD. The point (10,10) is an outlier that has a strong effect on the least squares line and the correlation coefficient.
Give a brief example of both a theoretical distribution of data.
X, absences Y, final grade 4. The data below are the number of absences, x, and the final grades, y, of 9 randomly selected students from a MTH 119 class. Construct a scatterplot of the data. 0 99 4 58 7 51 5 82 9 71 geyerinstructional.com 3 92 16 55 1 5 76 5 82
19
Question: Create two sets of data, at least 5 numbers each (numbers in the first set should be all different and between 1 and 20, and numbers in the second set should be also all different but between 20 and 40). Explain what the data represent. What is the best measure of center in each group and why? Which set of data has bigger variation and why?
a) Determine the values of * and **. b) Give the unbiased point estimate for the average monthly earning from Hyundai Vehicles. c) Give the unbiased point estimate for the variance of monthly earning from Hyundai Vehicles.
Are there any mild outliers in the college students data? Show all work. Construct and label a modified boxplot for the college students data.
You are doing a one way analysis of variance on the fuel consumption of different makes of cars. You measure the fuel consumption of 60 cars in total. The number of car makes is 6 for this experiment. The data is given below: Source Sum of squares Treatments 206.56 Errors 40.19 Find the mean squared for treatment. Give your answer to 2 decimal places.

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