tion 1 of 14>Each of the following graphs show the relationship between two variables. Determine the Pearson product-momentcorrelation coefficient (r) for cach graph.1020VariableVariable IAnswer Bankr= 0.4r= -0.8r=-0.99r= 0.0r= 0.90.202 04 0.6 os 1010Variable IVariable IVariable 6Variable 5

From the given scattered plot we find the correlation.

Answered: Each of the following graphs show 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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Each of the following graphs show the relationship between two variables. Determine the Pearson product-moment correlation coefficient (r) for each graph
Question 7 Identify the most likely type of causal relationship between each of the following pairs of variables. Assume that a strong positive correlation has been observed between the two variables, with the first one being the independent variable. DDDD reverse cause and effect accidental relationship presumed relationship cause and effect 1. 2. 3. 4. the number of police officers, the number of crimes the UV index rating, the rate of developing a sunburn without any sunscreen protection on the skin sales of ice cream cones at Cold Stone Creamery, revenue at Wild Waterworks swimming pool at Confederation Park ticket sales for the school play, "Broadway Titans 2" revenue from
A departmental store has the following sales for a period of last one year of 8 salesmen, who have different years of education. Years of Education 8 10 10 12 14 16 Annual Sales (Thousand Tk.) 100 120 80 100 80 100 70 130 a. Determine the correlation coefficient r between the two variables. Answer rounded to at least 4 decimal places. b. Determine the slope coefficient B1 for the regression of annual sales on years of education. Answer rounded to at least 4 decimal places. c. Determine the y-intercept Bo for the regression of annual sales on years of education. Answer rounded to at least 4 decimal places. d. What will be the annual sales when the years of education is 11 (years)? Answer rounded to at least 4 decimal places. Thousand Tk.
Consider the following table of data. 2 3 4 y 1 1 1 1.1 (a) Calculate the correlation coefficient. (b) Sketch a graph of the data. (c) Based on how closely the data fits a straight line, is your answer to part (a) surprising? Discuss the extent to which the correlation coefficient describes how well the data fit a horizontal line.
The correlation coefficient between the variables x and y is r=0.78 . If Sigma x=1.56, Sigma y=2.00, x bar=12,y bar=22 Find the equations of the registration lines Y on X
a. State the Pearson correlation trend between the two variables b. List the necessary steps to determine if there is a linear relationship between two variables.
The following table shows the number of units of a certain item sold by a store over a month in terms of the price in dollars charged by the store. Price in dollars 0.90 1.00 1.15 1.25 1.40 Number sold . 315 280 230 215 195 Use technology to find the correlation coefficient for the data. (Use decimal notation. Give your answer to two decimal places.) correlation coefficien What type of correlation is there between the price and the number sold?
Exercise 1.2.18 A school has three clubs and each stu- dent is required to belong to exactly one club. One year the students switched club membership as follows: 4 Club A. A remain in A, switch to B, switch to C. 5 • 10 10 Club B. 6 remain in B, 3 switch to A, o switch to C. 10 2 • 10 10 Club C. remain in C, 2 switch to A, 3 switch to B. 6 10 10 If the fraction of the student population in each club is unchanged, find each of these fractions.
If a predictor variable (x) is highly correlated with another predictor variable (x), the variables are providing essentially the same information. This is best referred to as multi-collinearity. Group of answer choices True False
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation
Homework Q2: Find the Pearson correlation coefficient Person Age (x) Income (y) (xy) (x²) (y²) 1 20 1500 30000 400 2250000 2 30 3000 90000 900 9000000 3 40 5000 200000 1600 25000000 4 50 7500 375000 2500 56250000 Total 140 17000 695000 5400 92500000 23
13 A Calculate Pearson's product Moment Correlation Coefficient and indicate its significance. Age(x) 3031 4243 44 45 Mark (y) 30 36 42 44 48 58 B Calculate the spearman's rank correlation for the data and explain the value. Age (x) 25 26 28 32 35 40 Mark (y) 60 65 77 89 72 87

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