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HI EXPERT, please kindly help with a step by step solution on how to run he regression, please see below the data set and question:

HI EXPERT, please kindly help with a step by step solution on how to run he regression, please see below the data set and question:

DATA SET:

The data below is number of students in various categores.
White Male Asian Male Other Male White Female Asian Female Other Female
Number Applied to STEM 25 19 19 15 10 17
Did not Apply to STEM 15 15 29 31 18 26
This data is extracted from the STEM data. GPA and SAT data are for those students who have applied for a STEM program.
White Male GPA Asian Male GPA Other Male GPA White Female GPA Asian Female GPA Other Female GPA White Male SAT Asian Male SAT SAT White Female SAT Asian Female SAT Other Female SAT
3.30 4.50 2.90 3.20 2.90 2.90 1560 1350 1450 1500 1450 1520
2.50 3.70 3.80 3.40 3.80 4.00 1450 1490 1430 1450 1430 1530
3.10 2.70 3.20 2.90 3.20 3.80 1360 1530 1480 1570 1480 1600
2.90 3.80 4.40 3.80 4.40 4.30 1340 1380 1390 1460 1390 1590
3.20 3.60 4.00 2.90 4.00 3.00 1380 1200 1340 1560 1340 1540
3.80 4.40 2.60 3.30 2.60 2.70 1270 1400 1460 1550 1460 1350
4.10 3.70 3.80 3.30 3.80 2.70 1190 1210 1400 1310 1400 1520
2.80 3.20 4.50 3.90 4.50 4.40 1410 1470 1500 1450 1500 1470
3.00 4.20 3.80 4.40 3.80 4.00 1240 1440 1520 1550 1520 1320
2.60 3.60 2.70 2.70 2.70 3.00 1430 1450 1470 1560 1470 1470
3.10 3.70 3.40 3.20 3.10 1430 1570 1560 1370 1600
2.50 3.70 4.20 2.60 3.60 1380 1380 1550 1550 1510
2.70 4.10 3.70 2.90 3.70 1540 1370 1350 1550 1460
4.30 3.90 2.60 2.80 3.90 1480 1330 1370 1530 1390
3.60 3.10 4.30 4.20 3.40 1200 1410 1420 1570 1390
3.00 3.60 3.50 2.70 1450 1410 1570 1520
3.80 3.20 3.90 3.40 1430 1590 1580 1580
4.40 3.60 4.50 1450 1330 1430
3.60 2.50 4.10 1490 1220 1390
3.00 1520
2.50 1520
2.90 1490
2.80 1590
4.00 1230
2.50 1330
Q5 Introduce the race variable (white and Asian) in the model
Put the regression model output here.
Write down the regression model
Assume some reasonable values for the independent variables and calculate confidence and prediction intervals

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