In: Statistics and Probability
x (duration) |
y (time) |
x (duration) |
y (time) |
1.8 |
56 |
3.78 |
79 |
1.82 |
58 |
3.83 |
85 |
1.90 |
62 |
3.88 |
80 |
1.93 |
56 |
4.10 |
89 |
1.98 |
57 |
4.27 |
90 |
2.05 |
57 |
4.30 |
89 |
2.13 |
60 |
4.43 |
89 |
2.30 |
57 |
4.47 |
86 |
2.37 |
61 |
4.53 |
89 |
2.82 |
73 |
4.55 |
86 |
3.13 |
76 |
4.60 |
92 |
3.27 |
77 |
4.63 |
91 |
3.65 |
77 |
x |
14.1 |
24.3 |
30.2 |
38.3 |
51.3 |
20.5 |
22.7 |
y |
2.58 |
2.08 |
1.58 |
1.03 |
0.75 |
2.38 |
2.20 |
Use a 1% level of significance to test the claim that ρ < 0. (I do need you to step through the five steps of hypothesis testing that we have been using in class. You can use SPSS to calculate r and as a check to what you find when you complete the hypothesis test).
Hi, We are supposed to answer one question at a time.Since you have not mentioned which question to answer, I am answering the first one. Kindly repost the question with another question you would like to be answered
1.
To find the best fit equation, following steps need to be taken
Step 1: Just put the data in the excel spreadsheet
Step 2: Go to Data --> Data Analysis --> regression --> select the data
Step 3: Get the regression output
The best fit line equation is :
x = -2.445 + 0.0767y
A) if the duration is 2.90 minutes, the time will be :
B) It time is 65 minutes, the duration will be: