Which graph has a correlation coefficient, r, closest to 0.95? В AA DAO CA
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Q: Which value of r indicates a stronger correlation: r= 0.839 or r= - 0.858? Explain your reasoning.…
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Q: Which value of r indicates a stronger correlation: r=0.818 orr= -0.941? Explain your reasoning.…
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Q: Which plot indicates a correlation of 0.7? Y & R 8 50 T 10
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Q: Find r2 if the correlation coefficient is 0.92. Only round your final answer to 2 decimal places.
A: Given: correlation coefficient r=0.92 Then calculate the coefficient of determination (r2) ??
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- Which value of r indicates a stronger correlation: r=0.797 or r= -0.922? Explain your reasoning. Choose the correct answer below. C ⒸA. r= -0.922 represents a stronger correlation because | -0.922|>10.7971. OB. r= -0.922 represents a stronger correlation because 0.797> -0.922. OC. r=0.797 represents a stronger correlation because 0.797 > -0.922. OD. r=0.797 represents a stronger correlation because | -0.922|>10.7971.Q1, a. define correlation and it's types. b. write the properties of r.If you have a correlation (r=.90), the coefficient of determination would be:
- Which value of r indicates a stronger correlation: r= 0.841 or r= - 0.949? Explain your reasoning. Choose the correct answer below. O A. r= 0.841 represents a stronger correlation because -0.949 > 0.841|. B. r= - 0.949 represents a stronger correlation because -0.949|> |0.841|. C. r= - 0.949 represents a stronger correlation because 0.841 > - 0.949. D. r= 0.841 represents a stronger correlation because 0.841 > - 0.949.Which of the R values below is consistent with a "perfect" correlation? a. 0.0 b. 0.5 c. -1.0 d. 0.95A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
- Which scatter plot shown has a correlation coefficient, r, closest to 0?Recently, the stock market took big swings up and down. A survey of 969 adult investors asked how often they tracked their portfolio. The table shows the investor responses. What is the probability that an adult investor tracks his or her portfolio weekly? Express your answer as a simplified fraction and as a decimal rounded to three decimal places. How frequently? Response Daily O 231 269 274 Couple times a year 143 Don't track 52 Weekly Monthly 274 969 231 969 269 969 143 969 ;0.283 ;0.238 ;0.278 ;0.148Use the following to answer the question: ˆy=−4x+10.3 with R2=35%. Which best describes the correlation? Weak negative linear relationship Weak positive linear relationship Moderate negative linear relationship No linear relationship Moderate positive linear relationship
- Q28Consider the bivariate data set with n = 7 observations X -4 1 -6 9. -8 -4 -4 Y 20 60 -10 99 -3 16 18 where a linear relationship between X and Y is investigated. The equation relating Y to X is formulated by Y = Bo + B1X + e and is called the simple linear regression equation. Use your calculator to answer the following questions. Give the values of the least squares estimates Bo Round your answer to the nearest integer. Round your answer to 3 decimal places.Which number below is representative of the largest correlation? r = -0.75 r = .05 r = -0.45 r = 0.65