The table below shows the number of years after the year 2000 and the percentage of people of a country owning homes:

number of years after 2000 (x) 2 4 5 1 3 7 6
percentage of people owning homes (y) 24% 32% 36% 20% 28% 44% 40%

what is the correlation coefficient for the data, and what does it represent?
(a) 0; it represents no correlation between x and y
(b)1; it represents a perfectly linear positive correlation between x and y
(c)1; it represents a perfectly linear negative correlation between x and y
(d)−1; it represents a perfectly linear negative correlation between x and y

The correlation coefficient is:

(B)  1; it represents a perfectly linear positive correlation between x and y

Step-by-step explanation:

We are given a table as:

x    1        2         3       4           5       6          7

y   20%   24%   28%  32%    36%     40%    44%

where x represent The number of years after 2000.

and y represents Percentage of people owning homes.

Clearly from the table we could see that the percentage of homes keeps on increasing as the number of years increases.

Hence the relationship is a strong Linear positive relationship.

The best fit line for the given data is this:

y = 0.04 x + 0.16

Hence, the correlation coefficient is: 1.

(B)  1; it represents a perfectly linear positive correlation between x and y

∠lno ≅ ∠lnm

∠oln ≅ ∠mln

step-by-step explanation:

given   that triangle lno is congruent to triangle lnm.

we have to fill up the blanks in the given question.

according to above order of congruency   kept in mind we can say that

∠lno ≅ ∠lnm

∠oln ≅ ∠mln

ln ≅ ln due to common in both.

hence, by sas congruency,

the side angle side rule   states that if two sides and the included angle of one triangle are congruent to another triangle, then these two triangles are congruent.

answer: the answer is 30 miles per hour.

ft/s -> mphmph = ft/s 1.466667mph = 44 divided by 1.466667mph = 30.00000

- r3ktforgood ☕