Which of the following statements are correct about the phi-coefficient? Check all that apply.It is a measure of correlation between two dichotomous variables.It can be used as a measure of the strength of a relationship between two dichotomous variables.It is a measure of correlation between a dichotomous variable and a continuous variable.It can be used as a measure of the significance of a relationship between two dichotomous variables.Suppose you are looking at the relationship between gender and color preference. You wonder if there is a difference between the preferences ofmales and females for red and yellow. You conduct a quick survey asking different people which color they prefer. The results are shown in the 2 x 2data matrix below:Observed FrequenciesColor PreferenceRedYellowFemale5330Male2047The x2 test statistic for the chi-square test for independence is 17.16. The phi-coefficient isAccording to Cohen's guidelines, the value for the phi-coefficient indicateseffect. Suppose you ask the same question of four times as many people, but the proportions remain the same. The new results are shown in the 2 x 2 datamatrix below:Observed FrequenciesColor PreferenceRedYellowFemale212120Male80188The x2 test statistic for the chi-square test of independence would now be 68.64, and the phi-coefficient would beThus, when we changethe sample size without changing the proportions, thedoes not change, but thedoes.Now, suppose you conduct a slightly different study. Instead of looking at the difference between the preferences of males and females for two colors,you classify your 250 respondents into four categories: male child, female child, male adult, and female adult. You also decide to look at differences inpreferences for five (5) colors: red, yellow, green, blue, and purple. The x² test statistic for the chi-square test of independence is 99.45, andCramer's V would beAccording to Cohen's guidelines, the value for the Cramer's V indicateseffect.

Which of the following statements are correct about the phi-coefficient? Check all that apply. O It is a measure of correlation between two dichotomous variables. It can be used as a measure of the strength of a relationship between two dichotomous variables. O It is a measure of correlation between a dichotomous variable and a continuous variable. O It can be used as a measure of the significance of a relationship between two dichotomous variables. Suppose you are looking at the relationship between gender and color preference. You wonder if there is a difference between the preferences of males and females for red and yellow. You conduct a quick survey asking different people which color they prefer. The results are shown in the 2 x 2 data matrix below:

Which of the following statements are correct about the phi-coefficient? Check all that apply. O It is a measure of correlation between two dichotomous variables. It can be used as a measure of the strength of a relationship between two dichotomous variables. O It is a measure of correlation between a dichotomous variable and a continuous variable. O It can be used as a measure of the significance of a relationship between two dichotomous variables. Suppose you are looking at the relationship between gender and color preference. You wonder if there is a difference between the preferences of males and females for red and yellow. You conduct a quick survey asking different people which color they prefer. The results are shown in the 2 x 2 data matrix below:

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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Which of the following statements is true? Select one of the options i. – iv.A positive correlation coefficient can take any value i. greater than -1 and less than or equal to 0ii. greater than 0 and less than or equal to 1iii. less than 1 and greater than or equal to 0iv. None of the above.
F2 Which of the following statements about correlation is true? Choose the correct answer below. OA. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values increase. OB. We say that there is a positive correlation between x and y if there is no distinct pattern in the scatterplot. OC. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values decrease. O D. We say that there is a negative correlation between x and y if the x-values increase as the corresponding y-values increase. # 3 80 F3 E 26 D C $ 4 F4 R F tv % 5 V I F5 T G 6 A MacBook Air c 2 Y B & 7 H 6 F7 U P N * 00 8 N J DII F8 ( 9 DD M F9 K gag ) O Time Rem V D F10 L I P I
Use the options to answer the following
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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
(a) A researcher reports that there is no consistent relationship between grade point average and the number of hours spent studying for college students. The correlation between grade point average and the number of hours studying is an example of a) a positive correlation.b) a negative correlation. c) a correlation near zero.d) a correlation near one. (b) A positive value for a correlation indicates _____. a) increases in X tend to be accompanied by increases in Yb) increases in X tend to be accompanied by decreases in Y c) a much stronger relationship than if the correlation were negatived) a much weaker relationship than if the correlation were negative
Data for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old 30 22 23 31 27 21 20 19 28 16 New 25 18 25 26 23 18 17 16 31 19 Based on the previous values you found, what can you conclude regarding the linear correlation between the Old and New test method? Since the absolute value of r is ____________ the positive critical value, there _____________ between the Old and New test method for fuel economy rating.
An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
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Use the data values in the table below to calculate the correlation between the variables x and y.Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. x y 3 19.13 4 21.24 5 19.65 6 18.36 7 17.57 8 18.98 9 16.99 10 16.7 Give your answer to three decimal places. __?__
For each of the following, indicate whether a correlation is most likely POSITIVE, NEGATIVE or NC (no correlation possible). The number of calories consumed and a person's weight loss The age of a child and the kind of pets owned Number of hours spent partying and GPA The age of a car and its mileage Weekly ice cream sales and weekly average temperature