Hi! If someone could help me with this section of my statistics homework I would greatly appreciate it. I am doing a regression analysis for the 2016 & 2020 election. I have already made my regression analysis tables but I am unsure of how to answer the questions below:

Part 2: Regression Analysis

1. Perform three bivariate regressions, one where you predict Biden vote share as a function of Clinton's 2016 vote share, one where you predict Trump's 2020 vote share as a function of Trump's 2016 vote share, and a third where you predict other candidate vote share in 2020 as a function of other candidate vote share in 2016. Make sure you report the tables in your write up.
2. Report the direction and magnitude of effects, strength of relationship, and accept or reject the null hypothesis of no effect
3. Present three scatter plots with lines of best fit, where the y-axis is the party's 2020 vote share, and the x-axis is the party's 2016 vote share.

Table 2: Biden/Clinton Regression Analysis

Obs	F (1, 49)	Prob > F	R-Sq.	Adj R_Sq.	Root MSE
51	1685.75	0.00	0.97	0.97	2.05

Biden Percent	Coefficient	Std. err.	t	P>|t|	[95% conf. interval]
Clinton Percent _cons	.98 5.11	-.02 1.10	41.06 4.66	0.00 0.00	.93 2.91	1.02 7.32

Table 3: Trump Regression Analysis

Obs	F (1, 49)	Prob > F	R-Sq.	Adj R_Sq.	Root MSE
51	1440.28	0.00	0.97	0.97	2.20

Trump Percent	Coefficient	Std. err.	t	P>|t|	[95% conf. interval]
Trump Percent (2016) _cons	.99 1.47	.03 1.29	37.95 1.14	0.00 0.26	.94 -1.13	1.04 4.07

Table 4: Other Regression Analysis

Obs	F (1, 49)	Prob > F	R-Sq.	Adj R_Sq.	Root MSE
51	1440.28	0.00	0.97	0.97	2.20

Other Percent	Coefficient	Std. err.	t	P>|t|	[95% conf. interval]
Other Percent (2016) _cons	-1014.02 63231.84	2083.12 16905.87	-0.49 2.374	0.63 0.00	-5200.21 29258.23	3172.16 97205.46

100 80 Biden_Pct 60 Fitted values 40 - 20- 20 40 60 80 100 ClintonPct80 60 Trump_Pct 40 Fitted values 20 - O 20 40 60 80 TrumpPct2016\f