Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimalplaces. When you are done, select "Compute". (In the table below, n is the sample size and the symbol E xy means the sum of thevalues xy.)n: 11Sample correlation coefficient (r):x: I00y: 0Slope (b,):S: 0y-intercept (b,):Σxy:Compute(b) Write the equation of the least-squares regression line for your data. Then on the scatter plot for your data, graph this regressionequation by plotting two points and then drawing the line through them. Round each coordinate to three decimal places.Regression equation: y = .080x + 1.071 You are a decision maker for a web-based marketing company that makes short marketing videos designed for social media. You are studying therelationship between a video's production budget and the number of likes it gets on the day it drops. You are going to look at a random sample of11 recent videos. You will note the video's production budget (denoted by x, in thousands of dollars) and the number of likes (denoted by y, inthousands) the video got across social media on the drop date. You will also note the product x'y of the budget and the number of likes for each圖video. (These products are written in the row labeled "xy").00(a) Click on "Take Sample" to see the results for your random sample.民Productionbudget, x(in86.535.750.669.224.163.442,977.858.342.969.2thousandsof dollars)Take SampleNumber oflikes, y8.44.24.95.42.95.65.87.16.73.17.3(inthousands)ху726.6 149.94 247.94 373.68 69.89 355.04 248.82 552.38 390.61 132.99 505.16Send data to calculator回国回

Answered: Based on the data from your sample,…

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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Consider the following data: - 4 - 3 - 1 P(X = x) 0.2 0.1 0.2 0.1 0.4 Step 4 of 5: Find the value of P(X > -2). Round your answer to one decimal place.
Use the data set below to find the FNS and then construct a Box and Whiskers Plot on the paper your teacher gave you. {6, 8, 12, 19, 27, 32, 54} LV = Q1 = Q2 = Q3 HV =
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r = 0.173 What is the value of the coefficient of determination? 2 = (Round to four decimal places as needed.)
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r = -1 (b) r= -0.933 (c) r=-0.523 (d) r= -0.038 Click the icon to view the scatter diagrams. r= -0.933 r= -1 r= -0.523 r=-0.038 Drag each of the r-values given above into the appropriate area below. Q Response Explanatory Response Explanatory Q *** Response Explanatory Q Response Explanatory
I need correlation coefficient ,test statistic , p value & conclusion pls help I need in an hour
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
For a set of correlated data, you calculate that the correlation coefficient (r) is -0.87. What percent of the variation in the dependent variable is explained by variation in the independent variable? D2L requires decimal format. Convert your percentage to a decimal rounded to the third place. i.e. 51.2218% = 0.512.
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r= - (b) r= - 0.546 0.025 0.946 (c) r= - (d) r= - 1 Click the icon to view the scatter diagrams. ..... r= - 0.025 r= - 0.546 r= - 0.946 r= - 1 Drag each of the r-values given above into the appropriate area below. Explanatory Explanatory Explanatory Explanatory Response Response Response Response • .
Q9: Please type your answer and show your work by typing
Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot below which corresponds to the correlation coefficient. (Click on image for a larger view.) B v 1. r = -0.74 с A ✓ 2. r = -0.49 3. r = -0.97 4. r = 0.76 A B D
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Instructions: Use the technology of your choice (calculator, Excel, GeoGebra, Google Sheets) to find the regression line, the correlation coefficient of the following data sets, and interpolate or extrapolate the requested data. (Round all numbers to the nearest hundredth, when necessary.) Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}{(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)} 1. The regression line is: y=_______ −________x 2. Based on the regression line, we would expect the value of response variable to be _______ when the explanatory variable is 0. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) _________ of _________ in the response variable. 4. If x=−3.5x=−3.5, the yˆ=y^= Answer. This is an example of _______. 5. The correlation coefficient is r=r= Answer. (Round to the nearest hundredth.)

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