Answer:
There is not sufficient evidence to support a claim of linear correlation between the two variables.
Step-by-step explanation:
The data provided is as follows:
X Y
78 5.5
79 8.8
56.2 3.3
68.3 1.7
77.9 10.8
38.2 0.1
(a)
The scatter plot is attached below.
(b)
Use the Excel function: =CORREL(array1, array2) to compute the correlation coefficient, <em>r</em>.
The correlation coefficient between the number of internet users and the award winners is,
<em>r</em> = 0.797.
(c)
The test statistic value is:


The degrees of freedom is,
df = n - 2
= 6 - 2
= 4
Compute the <em>p</em>-value as follows:

*Use a <em>t</em>-table.
<em>p</em>-value = 0.057 > <em>α</em> = 0.05
The null hypothesis will not be rejected.
Thus, it can be concluded that there is not sufficient evidence to support a claim of linear correlation between the two variables.
The variable y in the 2nd equation has a coefficient of 1...so there will be fewer steps to the solution
Answer:
A letter.
You can use any letter of the alphabet, but the ones that are most commonly used are x, y, and z.
28 cars, 26 fire engines and 13 trains. Hope this helps!
P represents the original per pound price3p represents the cost of three pounds 3p + 3(0.75) = 5.88 multiply3p + 2.25 = 5.88 subtract 2.55 from both sides3p = 3.63 divide both sidesby 3p = 1.21 The original price was $1.21 per pound. 1.21 = 0.751.963(1.96)5.88