Use the Pearson r correlation table to answer questions about the relations between table variables (symbols: * p < .05, ** p < .01, *** p < .001). variable contacts demeanor preparation contacts 1 -0.139 -0.004 demeanor -0.139 1 0.886*** preparation -0.004 0.886*** 1

Use the Pearson r correlation table to answer questions about the relations between table variables (symbols: * p < .05, p < .01, * p < .001). variable contacts demeanor preparation contacts 1 -0.139 -0.004 demeanor -0.139 1 0.886* preparation -0.004 0.886* 1

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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variable	contacts	demeanor	preparation
contacts	1	-0.139	-0.004
demeanor	-0.139	1	0.886***
preparation	-0.004	0.886***	1

Similar questions

2. A researcher performed a Pearson correlation analysis on the variables anxiety, wellbeing and stress to identify if they were correlated. The researcher performed the analysis in Jamovi and obtained the below table. Report the results of this analysis. Correlation Anxiety Wellbeing Stress Anxiety Pearson's r p-value Wellbeing Pearson's r -0.19 p-value 0.060 99 Stress Pearson's r 0.75 0.04 p-value < .001 0.720 N 99 99 |||
Hi! I really need help interpreting the results of this correlation matrix. Please help me answer these questions. Thanks! What were the results of your analysis in narrative form? Be clear about whether or not a significant relationship was indicated and the strength and nature of that relationship. How do you write out the numerical results of your analysis in APA format?
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OA. Tip Amount ($) Construct a scatterplot. Choose the correct graph below. 25- The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a 0.01. Does it appear that riders base their tips on the time of the ride? Click here for information on the taxi rides. 0 35 Ride time (minutes) Determine the linear correlation coefficient. The linear correlation coefficient is r= (Round to three decimal places as needed.) Tip Amount ($) B. Q 25- Q 0- 0 35 Ride time (minutes) Tip Amount ($) C. 25- Q 0 35 G Ride time (minutes) O D.…
Which ONE of the following statements regarding 0.581 on the summary output is correct? Group of answer choices 0.581 is the correlation for TIP and PREDICTED-SALES AMOUNT. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and TIP. -0.581 (negative 0.581) is the correlation for TIP and PREDICTED-TIP. 0.581 is the correlation for TIP and PREDICTED-TIP. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and PREDICTED-TIP. 0.581 is the correlation for SALES AMOUNT and PREDICTED-SALES AMOUNT.
The following data refers to the amount of caffeine (in mg) consumed by ten university students and their time to complete a practice test (in minutes) for a Economics Exam. Use attached Graph and Table to answer question below pls Describe the overall pattern of the relationship between caffeine amount and time to finish the practice exam in graph diagram provided. Does it follow a straight-line pattern? Is there a positive or negative association, or neither? How strong is the relationship?
There appears to be a problem with one of your contact methods. Please check your SettingS Enter the following table into your calculator or the Desmos Grapher and create the scatterplot. X 2 60 33 2,100 36 2,860 49 14,440 65 10,560 79 567,860 79 570,560 97 2,238,200 95 3,674,760 98 5282120 1. Is there a correlation for the data? If so, is it strong or weak? 2. What shape of function does the scatterplot show? 3. Use your calculator or the Desmos Grapher to find the equation for the line/curve of best fit. Now, use the equation editor to give the equation for the line/curve of best fit. 4. Determine if this equation is a good predictor of the data, using the appropriate number as proof/reasoning.
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