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1. Use the Excel file Bear Measurements. Is there a statistically significant relationship between the variables of Month and Weight? Select one: a. Even without

1.

Use the Excel file "Bear Measurements." Is there a statistically significant relationship between the variables of Month and Weight?

Select one:

a.

Even without knowing the critical value for r, there is a high probability that the variables have a statistically significant relationship.

b.

If a scatterplot is used to visually inspect the linear relationship, there is no need to consider the critical value forr.

c.

Even without knowing the critical value for r, there is a low probability that the variables have a statistically significant relationship.

2.

Use the Excel file to calculate Bear Head Width and Bear Neck Size. What is a correct interpretation of the result?

Select one:

a.

There is a strong positive relationship. Therefore, we know that asBear Head Width increases, we expect to see Bear Neck Size increase.

b.

There is a strong negative relationship. Therefore, we know that asBear Head Width increases, it causes Bear Neck Size to decrease.

c.

There is a strong negative relationship. Therefore, we know that asBear Head Width increases, we expect to see Bear Neck Size decrease.

AGE MONTH SEX (1=M) HEADLEN HEADWDTH NECK LENGTH CHEST WEIGHT
19 7 1 11.0 5.5 16.0 53.0 26.0 80
55 7 1 16.5 9.0 28.0 67.5 45.0 344
81 9 1 15.5 8.0 31.0 72.0 54.0 416
115 7 1 17.0 10.0 31.5 72.0 49.0 348
104 8 0 15.5 6.5 22.0 62.0 35.0 166
100 4 0 13.0 7.0 21.0 70.0 41.0 220
56 7 1 15.0 7.5 26.5 73.5 41.0 262
51 4 1 13.5 8.0 27.0 68.5 49.0 360
57 9 0 13.5 7.0 20.0 64.0 38.0 204
53 5 0 12.5 6.0 18.0 58.0 31.0 144
68 8 1 16.0 9.0 29.0 73.0 44.0 332
8 8 1 9.0 4.5 13.0 37.0 19.0 34
44 8 0 12.5 4.5 10.5 63.0 32.0 140
32 8 1 14.0 5.0 21.5 67.0 37.0 180
20 8 0 11.5 5.0 17.5 52.0 29.0 105
32 8 1 13.0 8.0 21.5 59.0 33.0 166
45 9 1 13.5 7.0 24.0 64.0 39.0 204
9 9 0 9.0 4.5 12.0 36.0 19.0 26
21 9 1 13.0 6.0 19.0 59.0 30.0 120
177 9 1 16.0 9.5 30.0 72.0 48.0 436
57 9 0 12.5 5.0 19.0 57.5 32.0 125
81 9 0 13.0 5.0 20.0 61.0 33.0 132
21 9 1 13.0 5.0 17.0 54.0 28.0 90
9 9 1 10.0 4.0 13.0 40.0 23.0 40
45 9 1 16.0 6.0 24.0 63.0 42.0 220
9 9 1 10.0 4.0 13.5 43.0 23.0 46
33 9 1 13.5 6.0 22.0 66.5 34.0 154
57 9 0 13.0 5.5 17.5 60.5 31.0 116
45 9 0 13.0 6.5 21.0 60.0 34.5 182
21 9 1 14.5 5.5 20.0 61.0 34.0 150
10 10 1 9.5 4.5 16.0 40.0 26.0 65
82 10 0 13.5 6.5 28.0 64.0 48.0 356
70 10 0 14.5 6.5 26.0 65.0 48.0 316
10 10 1 11.0 5.0 17.0 49.0 29.0 94
10 10 1 11.5 5.0 17.0 47.0 29.5 86
34 10 1 13.0 7.0 21.0 59.0 35.0 150
34 10 1 16.5 6.5 27.0 72.0 44.5 270
34 10 1 14.0 5.5 24.0 65.0 39.0 202
58 10 0 13.5 6.5 21.5 63.0 40.0 202
58 10 1 15.5 7.0 28.0 70.5 50.0 365
11 11 1 11.5 6.0 16.5 48.0 31.0 79
23 11 1 12.0 6.5 19.0 50.0 38.0 148
70 10 1 15.5 7.0 28.0 76.5 55.0 446
11 11 0 9.0 5.0 15.0 46.0 27.0 62
83 11 0 14.5 7.0 23.0 61.5 44.0 236
35 11 1 13.5 8.5 23.0 63.5 44.0 212
16 4 1 10.0 4.0 15.5 48.0 26.0 60
16 4 1 10.0 5.0 15.0 41.0 26.0 64
17 5 1 11.5 5.0 17.0 53.0 30.5 114
17 5 0 11.5 5.0 15.0 52.5 28.0 76
17 5 0 11.0 4.5 13.0 46.0 23.0 48
8 8 0 10.0 4.5 10.0 43.5 24.0 29
83 11 1 15.5 8.0 30.5 75.0 54.0 514
18 6 1 12.5 8.5 18.0 57.3 32.8 140

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