Total of the product of deviations of X and Yseries = 3,044Number of pairs of observations = 10%3DTotal of the deviations of X series = -170Total of the deviations of Y series = -20Total of the squares of deviations of X series= 8,288%3DTotal of the squares of deviations of Y series= 2,264.Find out the coefficient of correlationwhen the assumed means of X series andY series are 82 and 68 respectively.

Answered: Image /qna-images/answer/c094ab7a-b07a-4913-9800-3103a7bda712.jpg

Answered: Total of the product of deviations of X…

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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4. What do you know about explained and unexplained variation? What is regression line and regression equation?
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Find the estimated y intercept . Round your answer to three decimal places. age 35 41 52 56 66 bone density 358 350 348 332 321
99. What is the least squares regression line for the following scatter plot? y-hat =-0.34x + 3.78 y-hat = -0.42x + 4.12 y-hat = -0.31x + 3.09 y-hat = -0.39x + 4.30
13. (8 pts) An endocrinologist studying genetic and environmental effects on insulin production of pancreatic tissue, raised five litters of experimental mice. At age 2 months he sacrificed the mice, dissected out the pancreatic tissue and treated the tissue specimens with a glucose solution. The amount of insulin released from these specimens was recorded in pg/ml. Are there significant differences in insulin release among litters? 1 9 7 5 5 7 2 4 6 7 3 5 3 3 5 9 10 6 Litter 4 15 10 14 8 10 5 8 0231 11
The accompanying table shows the years of experience of 10 salesmen and their annualsales (in ’000 dollar) respectivelyi) Find the correlation coefficient between sales and experience from the above data.ii) Construct a scatter plot.iii) What does the plot suggest about the nature of the relationship between the two variables? Also comment on your result.
The residual is the difference between the observed value of the independent variable and the predicted value of the independent variable. TRUE FALSE
Q1.[5 points]: A researcher wants to assess if there is a difference in the average age of onset of a certain disease for men and women who get the disease. Let µ = average age of onset for women and µ2 = average age of onset for men. A random sample of 30 women with the disease showed an average age of onset of 83 years, with a sample standard deviation of 11.5 years. A random sample of 20 men with the disease showed an average age of onset of 77 years, with a sample standard deviation of 4.5 years. Assume that ages at onset of this disease are normally distributed for each gender, and assume the population variances are equal. i. What are the appropriate null and alternative hypothesis? ii. What is the value of the test statistics? iii. Why you decided to use the test statistics in part ii ? For a significant level of 0.05, what is the critical value (or critical region)? What is the appropriate conclusion to this test? iv. V.
Suppose that you run a correlation and find the correlation coefficient is 0.338 and the regression equation is ˆy=−12.7+4.3xy^=-12.7+4.3x.The mean for the xx data values was 7, and the mean for the y data values was 17.A T Test for the slope of the regression line is performed, and the p-value is greater than the level of significance of 0.05. Use the appropriate method to predict the y value when x is 4.4.
For 9 observations on supply (X) and price (Y) the following data are obtained∑(X-90) = -25 , ∑(X-90)2 = 301, ∑(Y-127) = 12, ∑(Y-127)2 = 1006∑(X-90) ∑(Y-127) = -469. Compute correlation coefficient?
For the data shown to the right, determine the linear.correlation coefficient using the formulas shown below. Compare your answers in part (a) and (b). 3 5 2| 1| 0 |-1-2 y a. Use the definition r= SySy Exy - (Ex)(E»)/n b. Use the computing formula r= a. Using the definition, r= (Round to three decimal places as needed.)
Please solve max in 30-60 minutes with the step, I'm needed and no reject thank u 1.Given l4 = 100 and l9 = 50. Calculate l5 assuming a Uniform Distribution of Death (UDD) Information/Note l4 = number of people living in year 4 l9 = number of people living in year 9 l5 = number of people living in year 5
Find the slope of regression line, y-intercept of regression line, coefficient of determination (r^2), and the linear correlation coefficient (r)

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