Question #17206

a. Construct a scatter plot using Excel or StatCrunch for the given data. B. Determine whether there is a positive linear correlation, negative linear correlation, or no linear correlation. C. Complete the table and find the correlation coefficient r. The data for x and y is shown below.
x 11 -6 8 -3 -2 1 5 -5 6 7
y -5 -3 4 1 -1 -2 0 2 3 -4
a. Scatter plot
b. Type of correlation (positive linear correlation, negative linear correlation, or no linear correlation)
c. Complete the table and find the correlation coefficient r.
x y xy x2 y2
11 -5
-6 -3
8 4
-3 1
-2 -1
1 -2
5 0
-5 2
6 3
7 -4
Use the last row of the table to show the column totals.
n = 10
r =
2. a. Construct a scatter plot including the regression line using Excel or StatCrunch for the given data. B. Determine whether there is a positive linear correlation, negative linear correlation, or no linear correlation. C. Complete the table and find the correlation coefficient r.
a. The data below are the ages and systolic blood pressure (measured in millimeters of mercury) of 9 randomly selected adults.
Age, x 38 41 45 48 51 53 57 61 65
Pressure, y 116 120 123 131 142 145 148 150 152
Part 1: Scatter plot with regression line.
Part 2: Type of correlation (positive linear correlation, negative linear correlation, or no linear correlation)
Part 3: Complete the table and find the correlation coefficient r.
x y xy x2 y2
38 116
41 120
45 123
48 131
51 142
53 145
57 148
61 150
65 152
Use the last row of the table to show the column totals.
n = 9
3. Using the r calculated in problem 2c test the significance of the correlation coefficient using = 0.01 and the claim rho = 0. Use the steps for a hypothesis test shown. (Note: Round the computed t to 3 decimal places.)
1. H0 :
Ha :
2. =
3.
4. For degrees of freedom =
5. Rejection region:
6. Decision: Since
7. Interpretation:
4. The data below are the ages and systolic blood pressure (measured in millimeters of mercury) of 9 randomly selected adults.
Age, x 38 41 45 48 51 53 57 61 65
Pressure, y 116 120 123 131 142 145 148 150 152
a. Find the equation of the regression line for the given data. Round the line values to the nearest two decimal places.
b. Using the equation found in part a, predict the pressure when the age is 50. Round to the nearest mm.

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