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 2.2 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) 7.9 7.5 9.5 7.2 7.4 9.1 Weight (kg) 169 182 264 137 168 249 Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficientr NOTE: To test Ho: p= 0 against H,: p#0, reject Ho if the absolute value of r is greater than the critical value in the table. In a = 0.05 a = 0.01 0.990 0.959 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402 10 11 12 13 14 15 16 17 18 19 20 25 35 40 И5 lo 294. lo 378. Print Done

MATLAB: An Introduction with Applications
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a. The regression equation is?

b.The best-predicted weight for an overhead width of 2.2 cm is?

 

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
2.2 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)
7.9
7.5
9.5
7.2
7.4
9.1
Weight (kg)
169
182
264
137
168
249
Transcribed Image Text: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 2.2 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) 7.9 7.5 9.5 7.2 7.4 9.1 Weight (kg) 169 182 264 137 168 249
Critical Values of the Pearson Correlation Coefficient r
Critical Values of the Pearson Correlation Coefficientr
NOTE: To test Ho: p= 0
against H,: p#0, reject Ho
if the absolute value of r is
greater than the critical
value in the table.
In
a = 0.05
a = 0.01
0.990
0.959
0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0.444
0.396
0.361
0.335
0.312
0.917
0.875
0.834
0.798
0.765
0.735
0.708
0.684
0.661
0.641
0.623
0.606
0.590
0.575
0.561
0.505
0.463
0.430
0.402
10
11
12
13
14
15
16
17
18
19
20
25
35
40
И5
lo 294.
lo 378.
Print
Done
Transcribed Image Text:Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficientr NOTE: To test Ho: p= 0 against H,: p#0, reject Ho if the absolute value of r is greater than the critical value in the table. In a = 0.05 a = 0.01 0.990 0.959 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402 10 11 12 13 14 15 16 17 18 19 20 25 35 40 И5 lo 294. lo 378. Print Done
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