Spending on credit cards decreases after the Christmas spending season? (as measured by amount charged on a credit card in? December). The accompanying data set contains the monthly credit card charges of a random sample of 99 cardholders. Complete parts? a) through? e) below.

a) Build a regression model to predict January spending from December's spending.

Jan=_+_Dec (round to four decimal places as needed)

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

A. All of the conditions are definitely satisfied.

B. The Randomization Condition is not satisfied.

C. The Nearly Normal Condition is not satisfied.

D. The Linearity Condition is not satisfied.

E. The Equal Spread Condition is not satisfied.

b) How much, on average, will cardholders who charged $2000 in Decmeber charge in January?

(Round to the nearest cent as needed.)

c) Give a 95% confidence interval for the average January charges of cardholders who charged $2000 in December. ($_,$_)

(round to the nearest cent as needed)

d) From part c) give a 95% confidence interval for the average decrease in the charges of cardholders who charged $2000 in December.

($_,$_)

(round to the nearest cent as needed)

e) What reservations, if any, would a researcher have about the confidence intervals made in parts c)and d)?

Select all that apply.

A. The data are not? independent, so the confidence intervals are not valid.

B. The residuals show increasing? spread, so the confidence intervals may not be valid.

C. The residuals show a curvilinear? pattern, so the confidence intervals may not be valid.

D. The data are not? linear, so the confidence intervals are not valid.

E. A researcher would not have any reservations. The confidence intervals are valid.

(IF there are too many data points, it would be fine if you could just tell me how to find the answers on STATCRUNCH, but please detailed)

December January
1543.05 903.37
4303.96 7210.35
4227.91 4242.52
202.86 79.92
3300.46 4045.35
874.22 89.21
3807.57 3292.66
1934.81 2418.28
99.17 83.88
504.02 6.43
410.66 0.00
683.54 564.57
2160.91 2715.66
1124.74 186.98
2506.14 3263.32
1836.15 1523.19
9.95 1359.75
2335.52 733.62
78.58 75.09
101.42 70.22
598.21 634.17
648.96 1042.25
236.08 553.98
1266.36 1016.85
2122.62 1305.53
3.66 249.71
305.88 48.76
1902.41 873.42
559.33 485.63
2446.93 616.48
2800.31 1573.89
532.04 422.22
536.31 770.61
768.39 56.54
1958.87 1485.89
1677.87 495.69
2063.28 1065.02
397.25 510.12
5639.39 5639.05
5.50 5.50
2278.03 871.68
3820.67 1634.73
89.12 92.17
1451.24 670.18
527.42 829.37
105.67 69.28
1405.11 831.62
4229.35 2301.81
632.86 270.34
970.64 210.65
347.85 1011.02
0.00 1043.95
49.96 298.47
29.98 -30.01
471.77 1637.09
1115.31 1731.84
70.68 0.00
31.08 31.43
4.95 4.95
2524.58 1089.27
16.95 26.85
40.52 120.22
258.89 2006.74
122.97 291.68
0.00 104.07
109.75 52.99
5055.08 2843.59
3672.69 675.14
139.72 221.53
75.94 37.76
3154.15 533.16
2990.27 1931.78
651.68 692.21
9118.61 6803.15
917.45 393.46
2875.29 1307.12
798.25 797.29
34.57 0.00
44.16 1039.38
478.56 565.45
761.95 339.02
2350.47 5272.54
44.24 40.06
43.27 43.35
1339.91 652.82
1127.62 1072.46
2803.52 2333.58
52.16 91.47
1294.81 1434.47
328.14 719.84
28.34 28.63
599.54 980.52
4285.58 1577.89
567.23 0.00
480.09 161.99
1616.78 494.39
285.72 533.48
1284.24 462.04
3756.73 1478.62