The data is given as follow. xi 2 6 9 13 20 yi 7 18 9 26 23 The estimated regression equation for these data is = 7.6 + .9x. Compute SSE, SST, and SSR (to 1 decimal). SSE SST SSR What percentage of the total sum of squares can be accounted for by the estimated regression equation (to 1 decimal)? % What is the value of the sample correlation coefficient (to 3 decimals)? Check My Work

SSE =  127.3

SST= 281.2

SSR = 153.9

R² = 0.5473

% = 54.73%

r=  +0.7398

Step-by-step explanation:

xi         yi      Y^                       (Yi-Y^)²               (Yi-Y`)²

2         7      7.6 + 0.9(2)        (7-9.4)²                (7-16.6)²

                    = 9.4                   = 5.76                   92.16

6        18      7.6 + 0.9(6)          (18-13)²                 (18-16.6)²

                    = 13                       =25                     1.96

9        9        7.6 + 0.9(9)          (9-15.7)²              (18-16.6)²

                    = 15.7                     =44.89               57.76

13       26       7.6 + 0.9(13)         (26-19.3)²          (18-16.6)²

                    = 19.3                       = 44.89            88.36

20      23        7.6 + 0.9(20)       (23-25.6)²          (18-16.6)²

                    = 25.6                       = 6.76              40.96                            

∑50      83           83                     127.3                   281.2                      

Y~= ∑yi/n= 83/5= 16.6

SSE = ∑ (Yi-Y^)² = 127.3

SST= ∑(Yi-Y`)²=281.2

SST = SSR + SSE

SSR = SST- SSE

         = 281.2- 127.3= 153.9

Co -efficient of determination= R² = SSR/ SST= 153.9/ 281.2= 0.5473

The regression equation is explained by 54.73 %  of the total sum of squares.

The linear  correlation coefficient is the square root of the co -efficient of determination

r= ±√r²= √0.5473= +0.7398

We only consider the positive value for the linear  correlation coefficient to be positive.

8 apples are left.

step-by-step explanation:

10-2=8

10 apples

take 2

now u have 8

when functions are first introduced, you will probably have some simplistic "functions" and relations to deal with, usually being just sets of points. these won't be terribly useful or interesting functions and relations, but your text wants you to get the idea of what the domain and range of a function are. small sets of points are generally the simplest sorts of relations, so your book starts with those.

step-by-step explanation:

state the domain and range of the following relation. is the relation a function?

{(2, –3), (4, 6), (3, –1), (6, 6), (2, 3)}

the above list of points, being a relationship between certain x's and certain y's, is a relation. the domain is all the x-values, and the range is all the y-values. to give the domain and the range, i just list the values without duplication:

domain: {2, 3, 4, 6}

range: {–3, –1, 3, 6}

(it is customary to list these values in numerical order, but it is not required. sets are called "unordered lists", so you can list the numbers in any order you feel like. just don't duplicate: technically, repetitions are okay in sets, but most instructors would count off for this.)

while the given set does indeed represent a relation (because x's and y's are being related to each other), the set they gave me contains two points with the same x-value: (2, –3) and (2, 3). since x = 2 gives me two possible destinations (that is, two possible y-values), then this relation is not a function.

note that all i had to do to check whether the relation was a function was to look for duplicate x-values. if you find any duplicate x-values, then the different y-values mean that you do not have a function. remember: for a relation to be a function, each x-value has to go to one, and only one, y-value.

state the domain and range of the following relation. is the relation a function?

{(–3, 5), (–2, 5), (–1, 5), (0, 5), (1, 5), (2, 5)}

i'll just list the x-values for the domain and the y-values for the range: