JUST QUESTION 17 PLEASE Here are some formulas to help:'-ΣΧΣΥΣχ)(ΣΥSPSP = E XYSS =Ex² –SSy = Ey².r =NSSx SSynnUse this set of data to answer questions #1 - #17. You are conducting a correlational study.ParticipantYXYX2Y2A24В13C3D6.6E42F4221. What is your null hypothesis? (in statistical notation)2. What is your null hypothesis? (in words)3. What is your alternative hypothesis? (in statistical notation)4. What is your alternative hypothesis? (in words)5. How many participants are in your study?6. What is the value of Sum of Products (SP)? (SHOW YOUR WORK)7. What is the value of SSx? (SHOW YOUR WORK)8. What is the value of SSy? (SHOW YOUR WORK)9. Calculate the Pearson Correlation Coefficient (r): (SHOWW YOUR WORK)10. Sketch a scatterplot for these data:|11. How many degrees of freedom (df) are in this study?12. Ifyou are doing a two-tailed test and alpha = .05, find the critical value of r from the table:13. What is your decision regarding the null hypothesis? Reject or Fail to Reject14. How did you make the determination in Question #13?15. Is there a significant correlational relationship between X and Y?Yes or No16. If the Pearson Correlation Coefficient that you calculated in #9 remains the same,had 4 more participants (n = 11), what would your decision be? Reject or Fail to Rejectbutyou17. How did you make the determination in Question #16?

Correlation coefficient is a measure of statistical association between continuous variables.

Answered: 17. How did you make the determination…

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 researcher finds a correlation of r x y = + 0.40 with a sample of n = 25 bi-variate observations. Given a null hypothesis of H0: ρ x y = 0 and α = 0.05 , the researcher should: cant tell from the information given reject the null hypothesis fail to reject the null hypothesis
The correlation between the two variables of interest is 0.81, which is significant at the 0.0337 level. This means ______. Group of answer choices 1.that the null hypothesis is rejected 2.the research hypothesis is rejected 3.that the null hypothesis is accepted 4.that the null hypothesis cannot be determined
This is a problem using the empirical rule
uppose IQ scores were obtained from randomly selected couplescouples. For 2020 such pairs of people, the linear correlation coefficient is 0.8900.890 and the equation of the regression line is ModifyingAbove y with caret equals negative 0.74 plus 1.02 xy=−0.74+1.02x, where x represents the IQ score of the husbandhusband. Also, the 2020 x values have a mean of 101.17101.17 and the 2020 y values have a mean of 102.7102.7. What is the best predicted IQ of the wifewife, given that the husbandhusband has an IQ of 9999? Use a significance level of 0.05. The best predicted IQ of the wifewife is nothing. (Round to two decimal places as needed.
In estimating the regression in the previous problem (#2), you are concerned that the t-statistics may be inflated because of serial correlation. You compute the DW statistic at 0.724 for the regression. Compute the sample correlation between the regression residuals from one period and those from the previous period. Perform a statistical test at the level to see if there is serial correlation. If you are using the table in the textbook, assume that the critical values of the DW statistic for 214 observations are about 0.11 higher than the critical values for 100 observations.
Suppose IQ scores were obtained from randomly selected twins. For 20 such pairs of people, the linear correlation coefficient is 0.930 and the equation of the regression line is y=−10.69+1.11x, where x represents the IQ score of the twin born first. Also, the 20 x values have a mean of 98.28 and the 20 y values have a mean of 98.5. What is the best predicted IQ of the twin born second, given that the twin born first has an IQ of 92? Use a significance level of 0.05.LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r.Question content area bottomPart 1The best predicted IQ of the twin born second is enter your response here.(Round to two decimal places as needed.)
For question #2, identify the null hypothesis (Ho) from choices given. For question #3 give just your calculated z-value that you are going to use to make a decision on the null hypothesis. For question #4, answer True or False as to whether the null hypothesis is rejected.
IQ scores were obtained randomly from selected twins at birth. For 20 such twins the linear correlation coefficient was 0.896 and equation of regression line is y= -3.02 + 1x, where x represents the iq score of the twin that was first born. Also the 20 x values has a mean of 103.2 and the 20 y values has a mean of 105.2. What is the best predicted IQ of the twin born second, given the first born twin has an IQ of 105?
A researcher is testing the effect of a new cold and flu medication on reaction time. A sample of n = 16 students is obtained and each student is given the normal dose of the medicine. Thirty minutes later, each student's reaction time is measured. The scores for the sample averaged M = 220 milliseconds with SS = 6000. Assuming that reaction time for students in the regular population averages μ = 200 milliseconds, are the data sufficient to conclude that the medication has a significant effect on reaction time? Test at the .05 level of significance. Make a point estimate and a 95% confidence interval estimate for the treated population mean.
The average midterm score in a large statistics class was 65 with an SD of 15. The average final score in the same class was 70 with an SD of 10. The correlation coefficient between midterm and final scores was r-0.6. Using the regression line, we predict the final score of a student with a midterm score of 80 to be but this prediction is likely to be off by about
Suppose IQ scores were obtained from randomly selected twins. For 20 such pairs of people, the linear correlation coefficient is 0.892 and the equation of the regression line is Modifying Above y= -1.91 + 1.01 x, where x represents the IQ score of the twin born the second. Also, the 20 x values have a mean of 100.07 and the 20 y values have a mean of 98.8 What is the best predicted IQ of the twin born first twin born first,given that the twin born second twin born secondhas an IQ of 96?Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r NOTE: To test H0: rhoρequals=0 against H1: rhoρnot equals≠0, reject H0 if the absolute value of r is greater than the critical value in the table. n a=0.05 a=0.01 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10…
The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree.

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