Question 1.Consider the table below:a) Draw a scatter diagram of the data.b) By hand, compute the correlation coefficient. (Use Computationalformula.)c) Based on your calculation in b, determine whether there is a linearrelation between x and y. How do you know?Xy21039576462

Given that, X 2 3 5 6 6 Y 10 9 7 4 2

Answered: Question 1. Consider the table below:…

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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3. The speed (in miles per hour) of 8 vehicles and their braking distance (in feet) when stopping on a dry surface speed, x braking distance, y 20 30 40 50 50 60 65 70 55 72 75 110 138 162 193 225 type of correlation: Conclusion
Use the data in the table, which shows the average annual salaries (both in thousands of dollars) for public school principals and teachers in the U.S. for 11 years. Apply what you have learned in the previous tab to complete this graded lab questions. 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the corelation coefficient is R and not R Teachers y Principalsx 77.8 43.7 78.4 43.8 80.8 45.0 R= 80.5 45.6, 2. Does the R value represent a positive, negative or no correlation between the salaries ol the teachers and principals? As teacher salaries increase, what happens to prinicipal salaries? 10 11 81.5 45.9 84.8 48.2 12 13 87.7 49,3 3. Write the equation of the regression line for the data below. The equation is y= 14 91.6 51.3 52.9 Teachers y 15 16 95.7 54.4 COD 54.2 =D0.5873x-2.0s07o R=0.995, 17 95.7 4. Use the regression equation that you found in exercise #3 to predict the average annual salary…
Compute the linear correlation coefficient. The linear correlation coefficient for the four pieces of data is
What kind of relationship is depicted in the following graph? 7 2 1 0 2 3 a. A positive linear correlation b. A nonlinear correlation c. No correlation Od. A negative linear correlation 6 9 10
1. The table below gives the number of hours a student spent studying for a test and their grade. a.) Draw a scatter plot of the data. Hours Spent Studying 3 2 2 5 1 0.5 4 3 Grade on Exam 84 77 92 70 60 90 75 b.) Draw the best fit line through the points (5,92) and (1, 70). Grade on Exam 90 80 70 60 c.) Is the correlation positive, negative, or none? f.) Write the equation of the best fit line. 50 d.) Find the slope of the best fit line: (5, 92) & (1,70) (round to one decimal) 0 2 4 6 8 10 Hours Spent Studying e.) What does the slope mean? T1-04 Plus TEXAS g.) Predict the grade for a student who studied for 2.5 hours. Is this an extrapolation or interpolation?
Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
A local store kept track of the number of advertisements it placed in local newspapers and the number of stereo systems it sold each week. Week 1 2 3 4 5 6 7 8 Advertisements, x 7 5 4 2 8 5 5 3 Stereos Sold, y 23 15 12 8 2 7 9 6 a) Create a scatter plot for the data showing Advertisements Vs. Stereos Sold. b) Determine the value of r, the correlation coefficient for the set of data and classify the type of correlation. c) What does this correlation coefficient suggest about the effectiveness of the advertisements? Explain
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1) is the number of hours spent studying, and the second independent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 0 2 17 1 2 20 3 2 25 5 4 26 5 4 26 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. AnswerHow to enter your answer (opens in new window) Copy Data Keypad Keyboard Shortcuts
The asking prices (in Rands) and the actual selling prices (in Rands), after bargaining, of 8 commodities are given below. Commodity A D E F G H Asking price, x 150 350 400 750 100 650 600 250 Selling price, y 120 200 400 550 80 450 350 200 Find the correlation coefficient for the above data. A. 0.8224 B. 0.3722 С. 0.9438 D. 0.5318 Activate
9. Tell whether the correlation coefficient would be closest to -1, 0 or 1. a. b. с. 150 150 150 100 100 100 50 50 50 0 2 4 6 x 0 2 4 6x 0 2 4 6 x
The scatter plot shows a set of data for the variables x and y. 200 180 160 140 120 100 80 60 40 20 10 10 20 30 40 50 What type of association is shown in the scatter plot? a weak, negative association C a strong, negative association B. a weak, positive association D. a strong, positive association
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. Part a. The value of n Part b. The sum of the x-values Part c. The sum of the y-values Part d. The sum of the x-squared values Part e. The sum of the y-squared values Part f. The sum of the (xy) values Part g. The final value of r rounded top three decimal places

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Question 1. Consider the table below: a) Draw a scatter diagram of the data. b) By hand, compute the correlation coefficient. (Use Computational formula.) c) Based on your calculation in b, determine whether there is a linear relation between x and y. How do you know? X y 2 10 3 9 5 7 6 4 6 2