Question
Spending on credit cards decreases after the Christmas spending season(as measured by amount charged on a credit card inDecember). The accompanying data set contains the
Spending on credit cards decreases after the Christmas spending season(as measured by amount charged on a credit card inDecember). The accompanying data set contains the monthly credit card charges of a random sample of 99 cardholders. Complete partsa) throughe) below.
a) Build a regression model to predict January spending fromDecember's spending.
Jan=
120.4201
120.4201+
0.6997
0.6997Dec
(Round to four decimal places asneeded.)
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 Linearity Condition is not satisfied.
C.
The Nearly Normal Condition is not satisfied.
Your answer is correct.
D.
The Randomization Condition is not satisfied.
E.
The Equal Spread Condition is not satisfied.
Your answer is correct.
b) Howmuch, onaverage, will cardholders who charged $2000 in December charge inJanuary?
$
1519.82
(Round to the nearest cent asneeded.)
c) Give a95% confidence interval for the average January charges of cardholders who charged $2000 in December.
$
,$
(Round to the nearest cent asneeded.) PLEASE SHOW ME HOW TO GET THIS ANSWER. DATA IS BELOW. THANK YOU!
December January
1545.41 903.92
4302.18 7215.18
4229.87 4239.49
202.62 79.97
3299.17 4039.45
874.21 89.29
3805.32 3293.26
1933.57 2418.73
99.25 83.83
503.89 6.43
410.94 0.00
682.89 564.94
2160.74 2714.13
1124.59 187.16
2509.54 3266.77
1836.29 1524.08
9.95 1358.13
2336.16 734.25
78.54 75.06
101.37 70.29
598.25 634.43
648.62 1040.68
235.71 553.73
1266.51 1016.36
2122.33 1304.08
3.66 249.68
305.76 48.78
1902.58 873.42
558.86 485.57
2447.57 616.95
2798.57 1572.56
532.26 422.47
536.26 770.18
768.04 56.56
1959.19 1486.64
1680.61 495.26
2062.23 1063.73
396.81 510.54
5643.51 5638.33
5.50 5.50
2280.61 870.56
3816.69 1633.72
89.15 92.24
1451.66 669.03
527.13 828.46
105.66 69.17
1404.71 830.18
4234.55 2303.78
633.87 270.21
970.47 210.33
348.44 1010.96
0.00 1044.17
49.95 298.75
29.98 -29.97
471.66 1637.05
1116.34 1732.19
70.65 0.00
31.11 31.39
4.95 4.95
2523.76 1088.65
16.95 26.85
40.58 120.25
259.16 2009.36
122.97 291.43
0.00 103.94
109.79. 52.99
5051.55 2839.94
3670.54 675.35
139.75 221.84
75.99 37.81
3152.46 533.25
2989.41 1933.56
651.53 692.85
9114.53 6808.35
917.12 393.23
2872.12 1308.77
797.87 796.09
34.53 0.00
44.14 1040.45
478.31 565.12
761.46 339.45
2348.35 5272.88
44.25 40.06
43.27 43.41
1338.93 652.83
1127.82 1072.16
2803.75 2334.62
52.15 91.52
1294.02 1434.65
328.11 720.37
28.34 28.59
598.56 980.51
4281.03 1575.55
567.66 0.00
479.93 162.07
1616.38 494.27
285.94 533.24
1283.17 462.34
3761.61 1478.08
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