Answer:
y= ½x+9
Step-by-step explanation:
Use desmos makes it easier
Answer:
0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x
Step-by-step explanation:
Given the data in the question;
sample size n = 28
slope of the least squares regression line of y on x or sample estimate = 0.0623
standard error = 0.0224
95% confidence interval
level of significance ∝ = 1 - 95% = 1 - 0.95 = 0.05
degree of freedom df = n - 2 = 28 - 2 = 26
∴ the equation will be;
⇒ sample estimate ± ( t-test) ( standard error )
⇒ sample estimate ± (
) ( standard error )
⇒ sample estimate ± (
) ( standard error )
⇒ sample estimate ± (
) ( standard error )
{ from t table; (
) = 2.055529 = 2.056
so we substitute
⇒ 0.0623 ± ( 2.056 )( 0.0224 )
Therefore, 0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x
X =(-8+√464)/-8=1-1/2√<span> 29 </span><span>= -1.693</span>
Answer:
x-1
Step-by-step explanation:
REQUIRED CHART :
The required chart has been attached
Answer:
31.8%
30.0%
Step-by-step explanation:
Required :
To obtain the Difference between Sweden and United States high and medium categories to the nearest %
Sweden :
High category = $23.51
Medium category = $15.73
United States :
High category = $34.48
Medium category = $22.46
Percentage Difference :
High category : (34.48 - 23.51) / 34.48 * 100% = 31.8%
Medium category : (22.46 - 15.73) / 22.46 * 100% = 29.96% = 30.0%