Financial analysts know that January credit card charges will generally be much lower than those of...

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Financial analysts know that January credit card charges willgenerally be much lower than those of the month before. What aboutthe difference between January and the next? month? Does the trend?continue? The accompanying data set contains the monthly creditcard charges of a random sample of 99 cardholders. Complete parts?a) through? e) below.

January

February

902.74

641.04

7212.18

4565.35

4235.42

2270.56

79.92

300.09

4045.57

1377.72

89.29

?120.74

3289.59

1928.85  

2419.54

2609.97

83.81

144.83

6.42

392.85

0.00

40.46

564.69

295.63

2712.23

848.62

187.12

162.12

3265.86

2412.45

1523.59

956.31

1359.23

38.03

733.33

2656.79

75.09

64.94

70.29

?70.32

634.53

1862.61  

1041.23

478.07

553.08

994.64

1016.27

774.54

1304.94

3368.08

249.39

5.52

48.78

96.93

872.34

890.89

485.94

485.21

616.52

1485.52

1574.18

890.46

422.34

391.43

770.85

323.19

56.53

0.00

1486.78

2253.73

495.28

390.19

1064.88

1065.85  

510.65  

131.33

5637.68

4942.63

5.49

5.51

871.63

591.44

1636.66

3364.19

92.13

85.99

669.34

1367.13

829.32

280.85

69.24

67.99

830.54

1057.56

2301.44

3317.76

270.67

14.13

210.42

160.52

1012.36

519.35

1044.96

2021.35

298.64

635.44

?29.99

0.00

1634.61

393.34

1731.93

1323.33

0.00

65.16

31.43

28.75

4.95

77.15

1088.69

892.78

26.88

29.03

120.31120.31

32.23

2007.48

815.63

291.31

779.47

104.02

0.00

53.01

66.25

2842.52

1530.91

675.47

293.45

221.86

171.92

37.79

4.78

533.25

880.96

1932.71

1063.55

692.17

915.55

6804.35

5941.41

393.36

466.47

1309.18

302.89  

796.21

497.02

0.00

266.64

1040.29

59.45

565.12

206.62

339.14

412.34

5275.34

5324.54

40.09

72.58

43.39

38.45

653.63

480.25

1071.23

416.29

2337.04

1787.19

91.47

175.32

1433.01

1107.78

719.86

307.79

28.61

24.19

980.34

1216.35

1576.18

1810.23

0.00

468.24

161.96

147.68

494.32

1995.28

534.11

935.24

462.45

114.51

1478.23

2093.37

?a) Build a regression model to predict February charges fromJanuary charges.

Feb=____+____Jan ?(Round to two decimal places as? needed.)

Check the conditions for this model. Select all of the truestatements related to checking the conditions.

A. All of the conditions are definitely satisfied.

B. The Linearity Condition is not satisfied.

C. The Randomization Condition is not satisfied.

D. The Equal Spread Condition is not satisfied.

E. The Nearly Normal Condition is not satisfied. ?

b) How? much, on? average, will cardholders who charged ?$2000in January charge in? February? ?$____ ?(Round to the nearest centas? needed.)

?c) Give a? 95% confidence interval for the average Februarycharges of cardholders who charged ?$2000 in January.

($___,$___) ?(Round to the nearest cent as? needed.) ?

d) From part? c), give a? 95% confidence interval for theaverage decrease in the charges of cardholders who charged ?$2000in January.

?($___,$___) (Round to the nearest cent as? needed.)

?e) What? reservations, if? any, would a researcher have aboutthe confidence intervals made in parts? c) and? d)? Select all thatapply.

A. The residuals show increasing? spread, so the confidenceintervals may not be valid.

B. The residuals show a curvilinear? pattern, so the confidenceintervals may not be valid.

C. The data are not? linear, so the confidence intervals are notvalid.

D. The data are not? independent, so the confidence intervalsare not valid.

E. A researcher would not have any reservations. The confidenceintervals are valid. Click to select your answer(s).

Answer & Explanation Solved by verified expert
3.8 Ratings (434 Votes)
x 10447025 y 9186794 xy 2363616651 x 3029382291 y 2289335909 Sample size n 99 x xn 1044702599 1055255051 y yn 918679499 9279589899 SSxx x xn 3029382291245 1044702599 19269547018448 SSyy y yn 2289335908566 918679499    See Answer
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