a) Use StatCrunch to find the correlation coefficient.r ={5 decimal places}b) Run the following hypothesis test to determine if the correlation is significant:Họ: p = 0Ha: p = 0Use the P-value for the slope to determine if the correlation significant?Select an answerExplain the correlation: Select an answer Enrique wishes to determine if there is a linear correlation between the age of a driver and thedeath rate for car crashes. The following table represents the age of a driver and the death rate ofdrivers for car crashes in the same age category per 100 Million Miles Driven. Use a significance levelof a = 0.05. Do not round between calculation steps; only round final answers.Driver's Age (x)172130323536476374Death Rate (y)5.66.65.95.155.64.94.13.7101020304060709010050Driver Age80Death Rate

Solution To find the correlation coefficient we will use excel

Answered: a) Use StatCrunch to find 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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Practice with correlation coefficients Using the table that appears below each pair of variables, please state the direction and strength (using Cohen’s rules of thumb) of each correlation coefficient, r. Assume all coefficients are statistically significant at p < .05. Then, interpret the correlation. Please describe the pattern, conceptually, without using the word “correlated” in your description. 3. Self-focus, charitable donations: r = -.28Direction & strength: _________________________________________________Interpretation: ________________________________________________________Can you infer causality? Explain. _______________________________________ 4. Stress, physical symptoms: r = .44Direction & strength: ____________________________________________________Interpretation: ___________________________________________________________Can you infer causality? Explain. _________________________________________
A correlation coefficient provides two pieces of information about a relationship between two variables. These are -Strength; direction of relationship - Direction, proportions - Direction, which one causes which - Which one causes which, effect size. READ FIRST: Show as much of your work in the text box below as possible, and include the rest in your scratch work. Scratch work supports what you write on this exam form. At the minimum, type your answers to each of the following 5 questions A-E in the text box - do not refer me to your scratch work for the answers. Do show your work (on the exam form or scratch work) for the calculations needed to answer B, so partial credit can be given in the case of a math error that throws off your calculations. The best way to do this is inside tables if possible. Total 10 15 You conduct a survey to find out whether talking on a cell phone during a romantic date bothers people. You want to find out if there is a gender difference on this issue,…
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?
Plz help asap, I need the sample correlation coefficient r, type of correlation, interpret the correlation, and use the table of crit values to make a conclusion.
Using the below data, how will you judge the degree of correlation between the two variables x and y? Edxdy = 125 n =60 Ox=5 Cy = 7 O a. Very high degree of correlation O b. Very low degree of correlation O C. Perfect correlation O d. No correlation
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths and heights of males. 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. Click to view the data on shoe print lengths and heights. Construct a scatterplot. Choose the correct graf Shoe Print Lengths versus Heights of Males O B. OD. 210- 200- 190- 180- 170- 160- 20 24 28 32 36 40 Shoe Print Length (cm) 210 200 190 180 170 160 2101 200- Shoe Print 190- Length (cm) Height (cm) 176.0 180- 170- 160- 20 24 28 32 36 40 31.4 28.9 181.2 31.5 194.5 Shoe Print Length (cm) 32.3 172.9 30.4 174.0 The linear correlation coefficient is r= 32.9 190.5 (Round to three decimal places as needed.) 31.0 176.6 30.8 170.0 30.5 171.9 32.3 175.5 30.5 200.1 32.6 199.3…
this is the copy of the complete question. thank you
The following table lists the monthly sales and advertising expenditures for 10 months of a digital electronics company in year 2017. 103 109 112 115 117 116 118 114 121 10 123 Sales (RM 000's) 4.4 5.9 6.5 6.8 7. 7.2 7.4 7.8 8.1 Advertising (RM 000's) a:
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Please help this is a practice question it is not for a grade so please answer the question thanks :-)
Which correlation coefficient best represents data that has a strong negative correlation? -0.95 O 0.05 0.05 O 0.95
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Question content area bottom Part 1 Choose the correct answer below. A. The coefficient of determination is 0.321. 32.1% of the variation is explained by the linear correlation, and 67.9% is explained by other factors. B. The coefficient of determination is 0.679. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. C. The coefficient of determination is 0.321. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. D. The coefficient of determination is 0.679. 32.1% of the variation is explained by the linear correlation, and 67.9% is…

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