< or >? +10 ? +13 2
< or >? -10 ? -13
3
< or >? 0 ? -8
4
< or >? -11 ? +9
5
< or >? +14 ? -16
6
< or >? -18 ? 0
7
|+7|=
8
|-9|=
9
|0|=
10
|-15|=
11
+9 + +7 =
12
+13 + -8 =
13
-14 + +7 =
14
-10 + +10 =
15
0 + -6 =
16
+13 - +5 =
17
+11 - -6 =
18
-16 - +9 =
19
-10 - -8 =
20
0 - +5 =
21
+8 · +6 =
22
+10 · -4 =
23
-3 · -11 =
24
0 · -12 =
25
-7 · -9 =
26
+42 ÷ +6 =
27
+56 ÷ -7 =
28
-63 ÷ -7 =
29
-72 ÷ +9 =
30
0 ÷ -6=

11. minitab software was used to find the lsrl for a study between x=age and y=days after arthroscopic shoulder surgery until an athlete could return to their sport. use the output to determine the prediction model and correlation between these two variables. predictor coef se coef t p constant -5.054 4.355 -1.16 0.279 age 0.2715 0.1427 1.9 0.094 r-sq = 31.16%

14. (05.02 lc) what is the value of y in the solution to the following system of equations? (5 points) 2x + y = −4 5x + 3y = −6

17. a researcher measures three variables, x, y, and z for each individual in a sample of n = 20. the pearson correlations for this sample are rxy = 0.6, rxz = 0.4, and ryz = 0.7. a. find the partial correlation between x and y, holding z constant. b. find the partial correlation between x and z, holding y constant. (hint: simply switch the labels for the variables y and z to correspond with the labels in the equation.) gravetter, frederick j. statistics for the behavioral sciences (p. 526). cengage learning. kindle edition.