n |
α=0.05 |
α=0.01 |
NOTE: To test
H0: ρ=0 againstH1: ρ≠0, rejectH0 if the absolute value of r is greater than the critical value in the table. |
---|---|---|---|
4 |
0.950 |
0.990 |
|
5 |
0.878 |
0.959 |
|
6 |
0.811 |
0.917 |
|
7 |
0.754 |
0.875 |
|
8 |
0.707 |
0.834 |
|
9 |
0.666 |
0.798 |
|
10 |
0.632 |
0.765 |
|
11 |
0.602 |
0.735 |
|
12 |
0.576 |
0.708 |
|
13 |
0.553 |
0.684 |
|
14 |
0.532 |
0.661 |
|
15 |
0.514 |
0.641 |
|
16 |
0.497 |
0.623 |
|
17 |
0.482 |
0.606 |
|
18 |
0.468 |
0.590 |
|
19 |
0.456 |
0.575 |
|
20 |
0.444 |
0.561 |
|
25 |
0.396 |
0.505 |
|
30 |
0.361 |
0.463 |
|
35 |
0.335 |
0.430 |
|
40 |
0.312 |
0.402 |
|
45 |
0.294 |
0.378 |
|
50 |
0.279 |
0.361 |
|
60 |
0.254 |
0.330 |
|
70 |
0.236 |
0.305 |
|
80 |
0.220 |
0.286 |
|
90 |
0.207 |
0.269 |
|
100 |
0.196 |
0.256 |
|
n |
α=0.05 |
α=0.01 |
n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute...
Critical Values of the Pearson Correlation Coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.4 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 7.4 8.4 9.7 7.5 8.3 8.2 Weight (kg) 151 224 275 153 210 210 Click the icon to view the critical values of the Pearson...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 8.2 7.3 9.4 7.5 7.4 8.7 Weight (kg) 165 158 240 134 152 213 The regression equation is ModifyingAbove y with caretyequals=_____+______x. (Round to one...
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.1 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 8.1 83 9.3 7.8 92 Weight (kg) 184 223 261 170 209 259 82 Click the icon to view the critical values of the Pearson...
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Listed below are he overhead widths n cm of sea s measured o m photographs and the weights n kg ofthe seals. Construct a sca e plat find the value of he linear correlation coe conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of tha saals? and find he critical values ofr using =0 05 s there s en evidence to cert Overhead Width 7 749.89.28.68.2 Weight Construct a scatterplot. Choose...
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#8. 10.1 Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 7.0 7.5 9.7 8.8 8.4 Weight 106...