1.

Which of the following statements is true?

Select one:

a.

If a regression equation does not appear to be useful for making predictions, there is no way to estimate y.

b.

If a regression equation does not appear to be useful for making predictions, the best estimator for y is the sample mean.

c.

If you find statistical significance based onrfor a correlation between two variables, there is no need to inspect a scatterplot.

2.

Use the Excel file "Bear Measurements" to calculate the linear correlation (r) for the variables of Chest and Weight.

Select one:

a.

It is impossible to know if these two variables have a statistically significant relationship with the information given.

b.

There is a low probability that these two variables have a statistically significant relationship.

c.

There is a high probability that these two variables have a statistically significant relationship.

3.

Use the Excel file "Bear Measurements." What is the regression equation?

Select one:

a.

y = 1.6455x +24.792

b.

x = 1.6455y - 24.792

c.

x = 24.792y - 1.6455

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