please answer the qestions for me

Question

statistics

1. State the general model of regression analysis
2. Discuss the different types of regression
3. Using the hypothetical data below:

1. Run regression to determine how well can blood pressure (BP) be predicted from anxiety and weight combined?

ANXIETY	WEIGHT	BLOOD PRESSURE
7	90	137
10	130	158
35	30	163
19	151	133
17	170	106
11	190	128
18	210	168
36	91	145
19	90	149
22	95	143
28	130	145
25	150	123
4	110	145
25	150	143
18	110	113
7	150	119
16	230	139
25	315	173
28	250	176
10	210	178
34	271	174
22	250	176
17	230	156
16	185	144

 

1. What is the null hypothesis for the overall multiple regression?
2. Run a regression analysis to predict blood pressure from weight and anxiety.
3. How much variance in blood pressure is uniquely explained by each of these two predictor variables?
4. What is multicollinearity in multiple regression, and why is it a problem?

Answer 1

"regreshun analysis"....find a strate line best fit tu data

want tu min the sum av squares av distans from the line tu all points

normally hav y=f(x), so yu get the x-distans av all points

Jenral solv...yu gotta get invers av matrix [n bi n], n=number points