Here is the cleansed data.

Response	Age	test marks	Paper marks	Gender	Year in college	IQ
R1	21	87	83	0	1	80
R2	19	82.73	80	0	0	100
R4	21	81	75	1	0	76
R5	21	81	80	1	2	82
R6	20	67	68	1	2	97.72
R7	26	75	88	1	1	120
R8	23.26	92	78	1	3	115
R9	26	78	92	0	3	126
R10	30	89	95	1	2	129
R12	19	81	65	0	1	80
R13	17	75	77	0	0	70
R15	35	82.73	83	1	2	99
R16	27	75	60	1	1	60
R17	21	85	80	0	2	89
R18	27	79	75	0	3	70
R19	21	90	93	1	2	140
R20	23.26	97	95	0	2	97.72
R21	21	90	80	0	1	115
R22	19	87	86	1	2	119
R23	32	95	90	0	1	97.72
R24	19	68	57	1	2	89

Response	Age	test marks	Paper marks	IQ
Mean	23.26286	82.73619	80	97.7219
Median	21	82.73	80	97.72
mode	21	81	80	97.72
variance	21.69925	62.65163	111.5238	456.0767
S.D.	4.658245	7.915278	10.56048	21.35595

1. Make a scatter plot with IQ on the x-axis and test grade on the y-axis. What do you conclude?
2. Make a scatter plot with gender on the x-axis and IQ on the y-axis. What do you conclude?
3. Compute the mean IQ for males and for females. Conclusion?

2. Choosing the right test Inferential statistics

Recommend the appropriate test to analyze the following questions: t-tests, ANOVA, Correlation, and Regression. Mention the test name for each question and your justification for why you chose it

1. Are there significant differences in the test grade for men and women?
2. Are there significant differences in the test grade among students from different years in college?
3. Is there a relationship between IQ and test grades?

3. construct a theoretical framework that best describes this data set