Do last three parts Complete parts (a) through (h) for the data below.4596816Xу69(a) By hand, draw a scatter diagram treating x as the explanatory variable and y as the response variable. Choose thecorrect scatter diagram below.O B.+++O .104814(10-GO B.О с.20-((b) Find the equation of the line containing the points (4,6) and (9,16).y= 2 x+ (-2)(Type integers or simplified fractions.)(c) Graph the line found in part (b) on the scatter diagram. Choose the correct graph below.10+C.20+НИКИ((d) By hand, determine the least-squares regression line.y=0.355 x + (-2)(Round to three decimal places as needed.)O D.20-O D.1014

The scatter plot can be plotted using the following code in R: This gives the following plot as an…

Answered: Complete parts (a) through (h) for the…

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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A lecturer at WIN wanted to know if he can predict student’s quiz results by asking them to complete a simple survey. The result of the survey is found in the file: Assignment 2 sem22020 data set 1.Quiz ResultActual Mark (0-15) for quiz student attainedEQRQuiz score (0-15) expected to get before taking the quizStudy Hrs.Number of hours per week (on average) spent studying for StatisticsAgeAge (in years)BBTSatisfaction rating of Big Bang TheorySexM=1 F=0MBMB=1 for good math background, otherwise 0MCMC= 1 if math centre is used regularly, otherwise 0AuHSAuHS = 1 if student completed high school in Australia, otherwise 0LMLM=1 if student likes math, 0 otherwiseTask 1: Variable List(a) Using the variables listed in the table above, Describe each variable.(b) State for each variable whether it is qualitative or quantitative; if it is qualitative, state whether it is nominal or ordinal, and if it is quantitative, state whether it is discrete or continuous.Task 2: HistogramCreate a histogram…
The management of a supermarket wants to find if there is a relationship between the number of times a specific product is promoted on the intercom system in the store(x) and the number of units of that product sold (y). To experiment, the management selected a product and promoted it on the intercom system for 7 days, recording the number of times this product was promoted each day and the number of units sold. Summaries of a study conducted gave the following results: ∑x=177, ∑y= 144, SSxx=809.4286, SSyy=261.7143, SSxy= 407.8571 a) Calculate the correlation coefficient (r) relating number of times this product was promoted each day and the number of units sold. b) Find the regression line.
Ernesto is a web developer who is looking to determine which of two types of advertisements are the most cost effective. He suspects that advertisements with animations generate more clicks than advertisements without animations but wants to confirm his intuition before he starts recommending advertisements with animations to his clients. Ernesto creates advertisements with animations for 12 different products and then creates advertisements without animations for those same products. Then he measures the click-through rate for those advertisements. The data are provided below (given as percentages of total visitors to the site who clicked on the advertisement). Assume that the conditions required for this hypothesis test are satisfied. Use a calculator to test the paired data, where α=0.01. Compute the sample differences d using d=Without−With. Which of the following statements are accurate for this hypothesis test in order to evaluate the claim that the true mean difference between…
In 2019, investigators from Brown University would like to determine the relationship of nail polish remover and ovarian cancer in women. A cohort of n=1000 beauticians aged 18-64 years old was identified and followed up after five years. After the follow-up period, there were × = 20 new cases of breast cancer were diagnosed. It is known that the incidence of ovarian cancer over the time period for average American women is 7/1000. The researchers wish to determine if the incidence computed in this study is equal to the incidence known in America at 0.01 level of significance.
man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What is the median number of hours studied? a. 2.3 b. 4.7 c. 4.5 d. 4.2 e. 5.5 f. 5 g. cannot be determined
man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 We know that 25% of all the grades falls into which of these regions? a. 78.5 to 79.0 b. 78.5 to 86.9 c. 75.8 to 86.9 d. 75.8 to 97.0 e. 78.5 to 97.0 f. 75.8 to 79.0
man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours? a. The predicted grade for 10 hours is more than 100, which is impossible. b. The value of 10…
A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 a) Create the regression equation b) Interpret b0 and b1 values c) Test and interpret whether there is a linear relationship between the number of daily customers and the income obtained at the level of α = 0.05 significance. d) Establish and interpret the 95% confidence interval for β1.
A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 a) Create the regression equation b) Interpret b0 and b1 values c) Test and interpret whether there is a linear relationship between the number of daily customers and the income obtained at the level of α = 0.05 significance. Could you explain this question again and in more detail especially not in excel image
A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 d) Establish and interpret the 95% confidence interval for β1.
in 2019, investigators from brown university would like to determine the relationship of nail polish remover and ovarian cancer in women. a cohort of n-1000 beauticians aged 18-64 years old was identified and followed up after five years. after the follow-up period, there were x - 20 new cases of breast cancer were diagnosed. it is known that the incidence of ovarian cancer over the time period for average American women is 7/1000. the researchers wish to determine if the incidence computed in this study is equal to the incidence known in America at 0.01 level of significance.The test statistics to be used in problem b is ___ and the critical region was set at ____ a. t-test, 1.96b. z-test, 1.96c. z-test, 2.58ad. t-test, 2.58
A popular fast food chain wants to open an outlet in a particular district. The research department collected some data from the district. Among the variables collected were i. the number of persons who buy gasoline during a particular period ii. the number of business places in the district iii. the types of businesses in the district iv. the area of land used for each house in the neighborhood v the days of late closing of the businesses vi the number of students from the two schools in the area who wait for the bus near the proposed site of the outlet. SELECT ALL THE QUALITATIVE VARIABLES

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