Which of the following statements about the correlation coefficient is correct?1. Positive correlation coefficients imply that the returns on security A tend to move inthe same direction as those on security BII. A correlation coefficient of 0.7 implies that if the returns on security A increase by10%, the returns on security B will increase by 7%III. A correlation coefficient of 0 implies that if the returns on security A increase by10%, the returns on security B will stay stableO a. I and III are correctO b. Only I is correctO c. All statements are correctOd. II and III are correctOe. I and II are correct.

Coefficient correlation : The coefficient of correlation could be a applied math live of the…

Answered: Which of the following statements about…

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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1. It has been noted that there is a positive correlation between the U.S. economy and the height of women's hemlines (distance from the floor of the bottom of a skirt or dress) with shorter skirts corresponding to economic growth and lower hemlines to periods of economic recession. Comment on the conclusion that economic factors cause hemlines to rise and fall. # of Absences (in weeks) Exam Grade 1 2 345 23 014 90 85 95 92 80
11. The National Oceanic and Atmospheric Administration tracks the amount of oysters harvested from the Chesapeake Bay each year. Years since 1900 10 20 43 52 84 89 Oysters (metric tons) 36 20.6 9.24 8.22 2.73 2.25 a) Is there a correlation? If so, describe the shape and strength. If no correlation, go on to #12, if there is a correlation, complete the parts below. b) The regression equation that describes this: c) Based on this, how much was harvested in 1931? d) What does x = 60 represent? e) Find the value of f(x) when x = 60 What does this mean in context?
An institutional research administrator believes that there is a direct relationship between a student’s GPA and their score on a senior Aptitude Test. The following data show the results of 10 student’s grade point averages (X) and their aptitude test score (Y). GPA (X) Aptitude Test Score (Y) 2.4 25 2.5 32 2.6 28 2.4 37 3.1 33 3.0 38 3.7 44 3.4 42 3.8 49 Develop an estimated regression equation relating GPA and Aptitude Test score. Use the formulas from our notes to compute this equation. SHOW ALL WORK!! DO NOT USE EXCEL!! If a student’s GPA is 3.35, predict their Aptitude Test score
Which of the following is true regarding weak correlation coefficients? a. They indicate a slight causation between variables. b. They are found only with Pearson r coefficients. c. They may be the result of restricted range for one of the variables. d. They are rarely found in social science research.
Suppose a local university researcher wants to build a linear model that predicts the freshman year GPA of incoming students based on high school SAT scores. The researcher randomly selects a sample of 40 sophomore students at the university and gathers their freshman year GPA data and the high school SAT score reported on each of their college applications. He produces a scatterplot with SAT scores on the horizontal axis and GPA on the vertical axis. The data has a linear correlation coefficient of 0.481202. Additional sample statistics are summarized in the table below. Variable Sample Sample standard Variable description mean deviation high school SAT score x = 1495.716802 Sx = 109.915203 y freshman year GPA y = 3.260911 Sy 0.492802 r = 0.481202 slope = 0.002157 Determine the y-intercept, a, of the least-squares regression line for this data. Give your answer precise to at least four decimal places. a =
Referring to Scenario 13-11, which of the following is the correct interpretation for the slope coefficient?a) For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.b) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.c) For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.d) For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.

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