Never mind my Stats Professor decided to help me, but for those in the same College Course as me-
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HELP PLS!!!! COLLEGE IS HARD
Use the table of values to calculate the linear correlation coefficient r
x y
4, -5
53, -1
86, 13
162, 16
A: r=0.918
B: r=0.464
C: r=0.619
D: r=0.862
A sample contains 61 pairs of values. Find the critical value for the linear correlation coefficient from Table A-6 corresponding to a 0.05 significance level.
A: 0.330
B: 0.236
C: 0.279
D:0.254
A sample of 6 head widths of seals (in cm) and the corresponding weights of the seals (in kg) were recorded. Given a linear correlation coefficient of 0.948, find the corresponding critical values, assuming a 0.01 significance level. Is there sufficient evidence to conclude that there is a linear correlation?
A: Critical Values = -+0.917; there is sufficient evidence to conclude that there is a linear correlation.
B: Critical Values = -+0.917; there is NOT sufficient evidence to conclude that there is a linear correlation.
C: Critical Values = -+0.959; there is sufficient evidence to conclude that there is a linear correlation.
D: Critical Values = -+0.959; there is NOT sufficient evidence to conclude that there is a linear correlation.
A sample contains 10 pairs of values. Find the critical value for the linear correlation coefficient from Table A-6 corresponding to a 0.01 significance level.
A: 0.765
B: 0.632
C:0.798
D:0.684
Calculate the linear correlation coefficient r using the table of values
x: 10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5
y: 7.5, 6.8, 12.7, 7.1, 8.8, 6.1, 5.4, 8.2, 6.4,5.7
A: r=0.955
B: r=0.723
C: r=0.818
D: r=0.439
The heights 9in inches of a sample of eight mother/daughter pairs of subjects were measured. Using a spreadsheet with the paired mother/daughter heights, the linear correlation coefficient is found to be 0.693. Find the critical value, assuming a 0.05 significance level. Is there sufficient evidence to support the claim that there is a linear correlation between mothers' heights and their daughters' heights?
A: Critical value = 0.707; there is NOT sufficient evidence to support the claim of a linear correlation between heights of mothers and heights of their daughters.
B: Critical value = 0.707; there is sufficient evidence to support the claim of a linear correlation between heights of mothers and heights of their daughters.
C: Critical value = 0.666; there is NOT sufficient evidence to support the claim of a linear correlation between heights of mothers and heights of their daughters.
D: Critical value = 0.666; there is sufficient evidence to support the claim of a linear correlation between heights of mothers and heights of their daughters.
The paired values of the Consumer Price Index (CPI) and the cost of a slice of pizza are listed in the table. Assume a 0.01 significance level. Determine the correlation coefficient and find the critical values.
CPI - 30.2, 48.3, 112.3, 162.2, 191.9, 197.8
Cost Of Pizza- 0.15, 0.35, 1.00, 1.25, 1.75, 2.00
A: r=0.872; critical values = -+0.811
B: r=0.985; critical values = -+0.917
C: r=0.985; critical values = -+0.811
D: r=0.872; critical values = -+0.917
1 answer
1 answer