Consumer Price Inder (CPI), Gold Price. and NYSE Indez. 1974-2006 Gold Price HTS
ID: 3312462 • Letter: C
Question
Consumer Price Inder (CPI), Gold Price. and NYSE Indez. 1974-2006 Gold Price HTSE CPI 153.26 463.54 483.55 124.84 1977 65.20 616.68 720.15 612.56 460.03 375.6 424.35 360.48 82.40 728.84 973.52 977.33 1142.3 1438.02 1703.73 1585.14 93.60 103.60 446.46 436.34 381.44 383.51 362.11 343.82 353.77 1383 1930 124.00 130.70 1333.47 2181.72 2421.51 2638.36 1932 1933 1934 140.30 148.20 384.17 1996 4827.35 1938 1333 294.24 63.00 278.88 6546.81 6805.83 6397.85 172.20 303.73 363.38 403.72 444.74 603.46 73.30 184.00 188.30 5447.46 7343.00 8357.33 2006Explanation / Answer
1B
Gold: -
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.419329731
R Square
0.175837423
Adjusted R Square
0.149251534
Standard Error
103.0725819
Observations
33
ANOVA
df
SS
MS
F
Significance F
Regression
1
70266.19299
70266.19299
6.613937921
0.015135158
Residual
31
329342.6713
10623.95714
Total
32
399608.8643
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
215.2856005
54.46850227
3.952478801
0.000416818
104.1963578
326.3748433
CPI
1.038430012
0.403782204
2.571757749
0.015135158
0.214910778
1.861949246
NYSE: -
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.915924146
R Square
0.838917041
Adjusted R Square
0.833720817
Standard Error
1010.482667
Observations
33
ANOVA
df
SS
MS
F
Significance F
Regression
1
164849961.2
164849961.2
161.4474213
7.90084E-14
Residual
31
31653331.82
1021075.22
Total
32
196503293
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
-3445.122044
533.9875689
-6.451689598
3.41688E-07
-4534.196871
-2356.047217
CPI
50.29773678
3.958520401
12.70619618
7.90084E-14
42.22428119
58.37119236
1c
Gold Price: -
Slope is 1.038 which means for every increase of 1 in IPC, gold price would go up by 1.038
NYSE: -
Slope is 50.3 which means for every increase of 1 in IPC, gold price would go up by 50.3
1d
Gold Price: -
r^2=0.1758 which means 17.58% of the variation in dependent variable is accounted for by the independent variable
NYSE: -
r^2=0.8389 which means 83.89% of the variation in dependent variable is accounted for by the independent variable
1e
r^2 for NYSE is more and hence model of NYSE reflects greater impact on inflation
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.419329731
R Square
0.175837423
Adjusted R Square
0.149251534
Standard Error
103.0725819
Observations
33
ANOVA
df
SS
MS
F
Significance F
Regression
1
70266.19299
70266.19299
6.613937921
0.015135158
Residual
31
329342.6713
10623.95714
Total
32
399608.8643
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
215.2856005
54.46850227
3.952478801
0.000416818
104.1963578
326.3748433
CPI
1.038430012
0.403782204
2.571757749
0.015135158
0.214910778
1.861949246
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