Annual high temperatures in a certain location have been tracked for several years. Let X represent the yearand Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to threedecimal places) between X and Y. Use your calculator!r =X567891011121314y10.359.411.9511.414.1513.517.851620.4519.7

The formula of the correlation is,where,SSXY denotes the product of sum of squares of XYSSXX denotes…

Answered: Annual high temperatures in a certain…

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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Below is data for two variables, X and Y. Answer the questions that follow. X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 3 -2 -1 4 1 2 4 3 -1 -1 1 1 ___ 6 4 1 ___ 1 0 0 7 6 2 2 ___ 4 4 Positive or negative correlation?
The data below was collected from manufacturer advertisements of their vehicles horsepower (x) and highway gas mileage (mpg=y). Use this data to answer the following questions. horsepower 146 250 340 350 390 190 220 mpg 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). Record the p-value below. Round to four decimal places.p-value==2. Is there a linear correlation between horsepower and highway gas mileage (mpg)? 3. If there is a linear correlation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. Be careful with your sign.r=r= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places.ˆy=y^=5. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225. Round your final answer to two decimal…
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation Coefficient xx 2.6 9.1 8.3 7.9 2.9 4.9 yy 6.2 22.9 24.2 20.1 6.1 15.8 Put your answer here:
Need the first 3
How strong is this relationship? Obtain the correlation. (Provide your answer to four decimal places.) r=
Here is a bivariate data set. x y 64 101 79 18 61 96 78 55 56 8 78 -7 60 26 76 7 99 55 Find the correlation coefficient and report it accurate to four decimal places. r = A good correlation calculator is found at Correlation Calculator
The following shows a linear correlation between weight and height. Image result for scatter plot scatter plot positive histogram negative O pie chart random frequency polygon biased
find t reject or fail to reject
Y 5 10 15 20 25 30 -0.112 0.001 0.091 0.942 0 Based on the plot displayed here, what is a possible correlation between the variables and y?

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