1/ Which one can not be value of correlation coefficient? A) -0.2 B) 1.12 C) 0.89 D) 0.47935 Your answer (enter a letter only) --> 2/ Heights and weights from a group of students can have correlation coefficient A) 2.67 B) -0.874 C) 0.928 D) 0.3982 Your answer (enter a letter only) --> 3/ Color of a car model and its mileage can have correlation coefficient A) 0.04 B) 0.81 C) -0.4812 D) 0.7529 Your answer (enter a letter only) --> 4) Which one can not be a value of coefficient of determination A) 0.66 B) 0.879 C) -0.7965 D) 0.487 Your answer (enter a letter only) --> 5) Leave a glass with 50 mL of water in a room for a month, the number of days pass and amount of water left in the glass each day can have the correlation coefficient of A) -0.92 B) 0.763 C) -1.8732 D) 0.2861 Your answer (enter a letter only) -->
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The correlation coefficient (denoted as 'r') ranges from -1 to 1. Any value outside this range is not possible for the correlation coefficient. Show more…
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For questions 1-3, select the choice that best answers the question. (2 points each) 1. Which of the following studies would a scatterplot not be appropriate way to show sample data? a) Is there an association between vehicle weight (in pounds) and gas efficiency (miles per gallon)? b) Is there an association between the color ink a student uses on a final exam and their grade? c) Is there a relationship between the cost of Lego © set and the number of pieces in the set? d) Is there an association between the age of a driver and the number of speeding tickets he/she has received? 2. Which of the following values of the correlation coefficient most likely corresponds to the scatter plot below? a) r = -0.895 b) r = 1 c) r = 0.01 d) r = 0.895 3. Which of the following statements about or examples of a correlation coefficient is valid? a) Because the correlation coefficient between test time and score is -0.56, the correlation coefficient between test score and time must be 0.56 (the positive value). b) There is a strong positive correlation between a person's yard size and whether or not they own a dog. c) For a sample of 50 students, the correlation coefficient between weight (kg) and height (in) was found to be 0.78kg/in d) A correlation coefficient of r = 0.84 denotes just as strong a relationship as a correlation coefficient of r = -0.84.
Sri K.
A researcher is calculating the Pearson correlation between height (X) and weight (Y) for a sample of 10-year-olds. She finds SP = 80, SSX = 130, and SSY = 140. What is the correlation coefficient? a.) 0.59 b.) 0.66 c.) 0.35 d.) 0.77 2. A researcher is calculating the Pearson correlation between X and Y for a sample of 40. She finds ΣXY = 806 and ΣX = 18.4. What is the value of SP for this data? a.) 70.0 b.) 88.4 c.) 42.8 d.) 46.3 3. A researcher working with a sample of 35 finds a Pearson correlation of 0.45 between two variables. What is the t-score corresponding to these results? a.) 2.58 b.) 3.24 c.) 3.49 d.) 2.89 4. All else held equal, which of the following changes will result in a larger t value for a Pearson correlation? a.) larger mean value b.) larger correlation c.) smaller r^2 d.) smaller sample size 5. Two variables have a Pearson correlation of 0.10. Which of the following is a possible explanation for this result? a.) the two variables have an almost perfect relationship. b.) the two variables have a strong positive relationship. c.) the two variables have a curvilinear relationship. d.) the two variables have a strong negative relationship.
1. If the correlation coefficient is 0.5098, it indicates that A. X and Y are strongly, positively correlated B. X and Y are strongly, negatively correlated C. X and Y are weakly, positively correlated D X and Y are weakly, negatively correlated 2. Suppose (X, Y) take on values {(1,10),( 3,11),( 8,9),( 4,15),( 7,20)}. Construct a simple linear regression model treating Y as the dependent variable, the LSE of the intercept A. 0.311 B 10.78 C 0.48 D 2.37 3. Which of the following is true? A. The dependent variable determines the independent variable. B. If the sample correlation coefficient is positive, it indicates that the two variables are strongly correlated. C. There is only one dependent variable when describing relationships. D. If there exists a downward trend in scatter plot, it indicates that the two variables are weakly correlated.
Teresa W.
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