As companies gradually moving out of recession caused by the Covid-19 pandemic, there was an increased attention to productivity. In that spirit, Mr Zhang Tianhan, the Operations Director of a textile manufacturing company, wants to determine what are the factors that could affect productivity. The factory is organised in teams of 10 workers hence all measurements are team-based. He collected the following data for this purpose:

TEAM:	Team 1 to 20
PRODUCTION:	Production volume for each team (units per day)
EXPERIENCE:	Average sewing experience in each team (years)
AGE:	Average age of workers in each team (years)
SHIFT:	1 means day-shift
	0 means night-shift
GENDER:	1 means team leader is male
	0 means team leader is female

Question: Execute hypothesis tests to advise Mr Zhang which variable(s) is/are significant at the5% significance level. Write down your steps carefully.

Data set:

Team	Production	Experience	Age	Shift	Gender
1	54	4.8	30.5	1	0
2	57	4.1	31.3	1	1
3	98	5.0	29.6	0	0
4	64	4.7	30.5	0	0
5	104	6.5	26.2	0	0
6	65	5.4	32.0	1	0
7	99	5.6	27.5	1	0
8	58	2.7	30.8	0	1
9	85	5.4	29.5	1	0
10	59	4.5	31.2	1	0
11	63	3.2	30.5	0	0
12	67	3.8	33.5	0	0
13	97	5.5	30.0	0	0
14	94	5.8	30.3	0	0
15	78	3.3	31.1	0	1
16	56	4.5	29.5	1	0
17	66	3.8	30.6	1	0
18	55	5.0	30.5	1	0
19	92	4.8	27.5	0	0
20	52	4.5	30.4	1	0