Question

Below is a table of the growth of the Corona Virus in USA and the requests for masks.

date	corona cases	#of masks req in millions
3/22/2020	32	2
3/23/2020	42	4
3/24/2020	52	8
3/25/2020	64	12
3/26/2020	81	20
3/27/2020	101	30
3/28/2020	121	40
3/29/2020	140	60
3/30/2020	160	90
3/31/2020	186	110
4/1/2020	212	120
4/2/2020	241	200
4/3/2020	273	300

Using causal with masks being the dependent variable. Generate a forecast for the number of masks requested based on the number of Corona cases in the USA. Use a linear regression line. Write the equation as y-hat = a + bx. X is the number of Corona cases and y-hat is the number of masks requested.

What is the value of "a"?

What is the value of "b" ? (Three decimals for both answer.)

Answer 1

a = -62.179

b = 1.058

	r²	0.881
	r	0.938
	Std. Error	32.102
	n	13
	k	1
	Dep. Var.	#of masks req in millions
ANOVA table
Source	SS	df	MS	F	p-value
Regression	83,683.4375	1	83,683.4375	81.21	2.07E-06
Residual	11,335.6395	11	1,030.5127
Total	95,019.0769	12
Regression output				confidence interval
variables	coefficients	std. error	t (df=11)	p-value	95% lower	95% upper
Intercept	-62.179
corona cases	1.058	0.1174	9.011	2.07E-06	0.7998	1.3167