Marketer	Hours of Training (X)	Sales Revenue (Y)
1	3	157643
2	6	127253
3	4	97777
4	3	167183
5	8	171802
6	2	138011
7	2	151582
8	10	107909
9	5	117778
10	5	118944
11	8	122820
12	3	146171
13	9	136366
14	5	72333
15	3	89541
16	7	185653
17	12	128204
18	6	121559
19	4	148737
20	4	80936
21	8	148105
22	6	165422
23	9	128784
24	10	154596
25	4	104001
26	3	113926
27	12	205264
28	9	217471
29	5	90178
30	7	129313
31	6	123686
32	3	136791
33	8	101543
34	6	143833
35	7	121203
36	3	118528
37	11	126951
38	10	101837
39	5	108181
40	5	110495
41	3	128540
42	4	143944

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.24
R Square	0.06
Adjusted R Square	0.03
Standard Error	30180.01
Observations	42.00
ANOVA
	df	SS	MS	F	Significance F
Regression	1	2157936031	2.16E+09	2.369189	0.131625497
Residual	40	36433325185	9.11E+08
Total	41	38591261216
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	115590.35	11164.94	10.35	0.00	93025.16	138155.54	93025.16	138155.54
Hours of Training (X)	2592.88	1684.55	1.54	0.13	-811.71	5997.48	-811.71	5997.48

1.With reference to your estimated equation, calculate (using a calculator) a 90& confidenceintervalforthecoefficientofX(i.e.2)inthemodel. Inperformingthis calculation,usetherelevantestimatedstandarderroroftheestimatorofthe coefficientofXgiveninyoursummaryExcel regressionoutput.Givean interpretation of theconfidenceintervalyoucalculate. (2 marks)

2.Giveaninterpretationoftherealizedcoefficientofdeterminationvalue(r2)givenin yoursummaryExcel regression output. (2 marks)