9.2602803603603606407507707901110y150175250280237450500520530823Is there a correlation?If yes, what function family?What is the equation that describes this data?If linear, what is the correlation coefficient?What does this mean?What is the coefficient of determination?Is this equation a good one to use forpredictions? Why?

Given that x 260 280 360 360 360 640 750 770 790 1110 y 150 175 250 280 237 450 500 520 530…

Answered: 9. 260 280 360 360 360 640 750 770 790…

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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A negative value for a correlation indicates____ increase in X tend to be accomplished by the increase in Y how much weaker relationship then if the correlation were positive a much stronger relationship than if the correlation were positive increase in X tend to be accomplished by decrease in Y
What is the correlation between happiness and volunteer hours? Enter your value with three decimal places; do not include a zero to the left of the decimal point (i.e., .001, not 0.001, not .01, not .1). You only need to include the direction sign for a negative correlation.
Which one of the following statements is true? The correlation coefficient is not affected by outliers. O In the context of correlation and regression, as long as the correlation is strong, it's okay to infer that the explanatory variable causes the response variable. O The "P" in P-value stands for "practical." O The slope in a regression equation tells us what we predict y to be if x is equal to 0 O It is not necessary to know the population size in order to compute the standard deviation of the sampling distribution.
1. The chart of data represents the heart rate (beats per mimute) of a jogger over time (minutes). Time (Min) 1 3 4 6. 7. 8. BPM 81 84 86 91 97 102 108 112 la. Write the cquation of the Line of Best Fit Your answer 1b. What is the correlation coefficient? Your answer
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
QUESTION 1 If one variable increases as the other decreases, this is a correlation. QUESTION 2 In general, the fewer hours you study for an exam, the lower your grade. This is an example of a correlation. QUESTION 3 Charles has calculated his Pearson r to be -1.67. This indicates that Charles made a mistake. There is a strong, negative relationship between his two variables. The two variables are only weakly correlated. The findings are definitely important.
How strong is this relationship? Obtain the correlation. (Provide your answer to four decimal places.) r=
Which one of the following statements is true? When predicting one quantitative variable based on another, the variable you are trying to predict should always go on the x-axis of the scatterplot. The intercept in a regression equation can never negative. The correlation coefficient has no units. A very strong relationship between variables can result in a value of r that is larger than 1. A correlation coefficient can only range in value from 0 to 1.
Question 31 parts A and B
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
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QUESTION 23 What degree of correlation is depicted by the plot below? -100- r=-1 -120 -140- -160- -180 -200 150 175 200 225 250 QA negative perfect correlation OB. positive moderate corelation C.negative moderate correlation Click Save and Submit to sape and subnit. Click Sare AllAnners to sate all anncere. TESHISA D9 8 P Y E R K

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