ation Coefficienta.b.The following data sets are annual growth rates for two productsXCalculate the correlation coefficient between X and Y0.210.63(0.25)(0.93)Cd201820192020202120228%12%2%14%16%7%6%8%18%15%Use Correlation Coefficint Formula in ExcelMath necessary to measure effectiveness of optionsb. is slightly negatively correlatedCappears to be highly negatively correlatedd is perfectly positively correlatedUsing the correlation coefficient, the relationship between product X and Ya. is mildly to highly correlated

The given data is as follows: XY20188%7%201912%6%20202%8%202114%18%202216%15%

Answered: ation Coefficient a. b. The following…

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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Fill in the blanks. a. If predictor variable x1 has VIF equal to 5, then_______percent of the variation in the observed values of x1 is explained by the other predictor variables in the regression equation. b. If x1 and x2 are the only predictor variables in a regression equation and if the observed values of x1 and x2 have linear correlation coefficient equal to 0.7, then the VIF of x1 equals_______ c. A VIF of 10 indicates_______multicollinearity.
The histogram below shows the distribution of annual growth rate in travel spending for 52 companies in the United States. Frequency 20+ 15 10 5 2 0+ 2 0 6 3 11 19 4 1 Annual Growth Rate (%) After creating this graph, it was discovered that the values for the companies with the 20 largest reported annual growth rates were miscalculated. In fact, each of these top 20 companies should have a higher value of annual growth rate than was previously reported. Which of the following statements must be true? (A) If you were to make a graph with the corrected values, the graph would be skewed to the left. (B) If you were to make a graph with the corrected values, the graph would be symmetric. (C) If you were to calculate the median with the corrected values, the new median would be greater than the old median. (D) If you were to calculate the interquartile range (IQR) with the corrected values, the new IQR would be the same as the old IQR. (E) If you were to find the value of the third quartile…
O 599.1 O 616.6 O 602.7 596.4
Cost and Customer Satisfaction A researcher is interested whether there is a linear correlation between cost (in dollars) of internet service per month and customer satisfaction on a scale of 1 - 10 (with a 1 being extremely dissatisfied and 10 extremely satisfied). The researcher only includes internet service with similar download speed. The sample he collected is below. Cost (x) 20 18 15 11 9 11 15 19 18 30 Satisfaction (y) 6 8 10 4 9 6 13 5 2 10 Find the best predicted value for the level of Customer Satisfaction given that the Cost is 13. Use a significance level of 0.05. Round your answer to 1 decimal place, if needed.
Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.98 per slice? Year Pizza Cost Subway Fare CPI 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.152 0.353 1.000 1.251 1.753 2.003 2.254 2.300 2.747 2.997 0.151 0.346 1.000 1.347 1.497 2.004 2.253 2.551 2.747 2.750 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 The regression equation is y=+x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.) The best predicted subway fare when pizza costs $3.98 per slice is $ (Round to the nearest cent as needed.)
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from a study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef T P Constant -0.233 2.429 -0.09 0.929 Diameter 0.7948 0.1671 5.33 0.001 S = 4.10980 R-Sq = 80.3% (a) The standard error Se of the linear regression model is given in the printout as "S." What is the value of Se? (b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is Se Σx2 − 1 n (Σx)2 . From the Minitab display, what is the value of the standard error for the slope b?
Fill in the blanks. a. If predictor variable x1 has VIF equal to 5, then _______ percent of the variation in the observed values of x1 is explained by the other predictor variables in the regression equation. b. If x1 and x2 are the only predictor variables in a regression equation and if the observed values of x1 and x2 have linear correlation coefficient equal to 0.7, then the VIF of x1 equals ________. c. A VIF of 10 indicates _______. multicollinearity.
performance in 2009. Analysis of this data reveals a correlation coefficient of r=−0.2234. What would be the predicted stock return for a company whose CEO made $15 million? What would be the predicted stock return for a company whose CEO made $25 million? What would be the predicted stock return for a company whose CEO made $15 million? % (Type an integer or decimal rounded to one decimal place as needed.)
CPI represents a country’s Consumer Price Index and MS represents the country’s Money Supply (in £ billions) over a 10-year period. CPI MS 95 8 99 9 100 10 105 12 110 15 120 20 122 20 123 21 123 21 124 21 Calculate the Pearson correlation coefficient between the two variables. Comment on the strength of the relationship between CPI and MS.
M Wed Feb 15 Measles and Mumps The data show the number of cases of measles and mumps for a recent 5-year period. Measles Cases Mumps Cases 48 150 1797 475 70 60 203 1954 2575 370 Send data to Excel www-awu.connectmath.com The correlation coefficient for the data is r=-0.911 and a= 0.05. Should regression analysis be done? O The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y' = a + bx a = b = Given a year with 185 cases of measles, predict the expected number of cases of mumps for that year. Round your answer to at least one decimal place. The number of cases of mumps for that year is 47% Submit Assignment 2023 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Cent 0
Correlation Regression Pracice ll 1 Researchers want to know if there is a relationship between social skills and intelligence. Use alpha = .05. Social Skills Inrelligence Y= 14 SS, 232 S, = 3.81 16 20 X= 15 16 10 SS = 194 10 S.=3.48 14 10 SP 14 11 15 19 13 12 11 21 12 23 18 13 16 16 14 20 20 17 11 14 13 17 12 13 12 11 14 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. 1 Calculate Pearson's r i Decision about null hypothesis? b. Calculate effect size i Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. a. Plot the regression line. b. If someone scored 15 on social skills, what is their predicted intelligence score?
linear regression. I already answered some question

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