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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more than others. To investigate, they measured the grey matter density in two regions of the brain that are known to be associated with social perception and memory. They also recorded the number of Facebook friend of each study subject. The scatterplot below shows the relationship between these two variables along with the least squares fit. Note that grey matter density has been reported as a standardized z-score for each individual. Do not round in intermediate calculations for this problem. Round your results to 4 decimal places except where indicated below. -2 -1 1 Grey Matter Density 002 009 00s 007 001 Facebook Friends
٤.A researcher wants to identify whether recent business graduates from 5 different universities have equal performance in a certain task or not, he sampled 50 graduates from the 5 universities and recorded their performance scores, He conducted ANOVA test, if Sum of Squares of Treatments (SST) = 126 then the (MST) equals :
The maximum discount value of the Entertainment® card for the "Fine Dining" section for various pages is given in the table below. Page number Maximum value ($) 4 17 14 18 25 16 32 18 43 18 57 15 72 16 85 14 90 18 Let page number be the independent variable and maximum value be the dependent variable. Part (a) Draw a scatter plot of the ordered pairs. Part (b) Calculate the least-squares line. Put the equation in the form of: ŷ = a + bx. (Round your answers to three decimal places.) ŷ = ________ + __________ x Part (c) Find the correlation coefficient. (Round your answer to four decimal places.) r = Is it significant? (Use a significance level of 0.05.) Yes No Part (d) Find the estimated maximum values for the restaurants on page ten and on page 70. (Round your answers to the nearest cent.) Page 10: $ ____________ Page 70: $ ____________ Part (e) Does it appear that the restaurants giving the…
23 Determine, by means of the least squares method and assuming that the only significant errors are in the y values, the best straight line relationship to fit the following data: y 65 72 68 71 72 75 80 82 77 74 80 84 87 93 98 78 89 91 96 95
The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.
Q1.2
College Graduation Rates. Data from the College Results Online website compared the 2011 graduation rate and median SAT score for 92 similar-sized public universities and colleges in the United States. The scatterplot below shows the relationship between these two variables along with the least squares fit. Round all calculated results to 4 decimal places. I ONLY need help with question 6.
ghment-Responses/submit?dep3D274217688tags%3Dautosave#question4737280 7 An article gave a scatter plot along with the least squares line of x = rainfall volume (m) and y = runoff volume (m³) for a particular location. The accompanying values were read from the plot. 米 6 12 14 20 23 30 40 46 55 67 72 82 96 112 127 y 4 10 13 15 15 25 27 45 38 46 53 75 82 99 104 n USE SALT (a) Does a scatter plot of the data support the use of the simple linear regression model? O Yes, the scatterplot shows a reasonable linear relationship. O Yes, the scatterplot shows a random scattering with no pattern. O No, the scatterplot shows a reasonable linear relationship. O No, the scatterplot shows a random scattering with no pattern. (b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.) slope 0.8535 intercept -2.2338 (c) Calculate a point estimate of the true average runoff volume when rainfall volume is 49. (Round your answer…
This table shows the average heights for American boys in 1990. Age (years) Height (cm) birth 50.8 2 83.8 3 91.4 5 106.6 7 119.3 10 137.1 14 157.5 Decide which variable should be the independent variable and which should be the dependent variable. Draw a scatter plot of the data. Does it appear from inspection that there is a relationship between the variables? Why or why not? Calculate the least-squares line. Put the equation in the form of: ŷ = a + bx Find the correlation coefficient. Is it significant? Find the estimated average height for a one-year-old. Find the estimated average height for an eleven-year-old. Does it appear that a line is the best way to fit the data? Why or why not? Are there any outliers in the data? Use the least squares line to estimate the average height for a sixty-two-year-old man. Do you think that youranswer is reasonable? Why or why not? 10. What is the slope of the least-squares (best-fit) line?…
5) Please answer the question and show your work in the space provided. Medhavi suspects that there is a relationship between the number of text messages high school students send and their academic achievement. To explore this, she asks a random sample of 52 students at her school how many text messages they sent yesterday and what their grade point average (GPA) was during the most recent marking period. Her data are summarized in the scatter plot below. The least squares regression line is also shown. The equation of the least squares regression line is GPA=3.8-0.005(TextsSent). Interpret the quantities -0.005 and 3.8 in the context of the data. 4.25 4.00 - 3.75 3.50 3.25 3.00 - 2.75 2.50 - 20 40 60 80 100 120 140 160 Texts Sent

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