T
tcpeterso
My data set looks like the following below. I have data set for "Males"
and one for "Females"
Based on whether male or female is identified, the other (2)
identifying variables are age (within the ranges for each column) and
number of reps completed down the far left column.
By identifing:
1) Male or Female
2) Age
3) Number of Repititions
I need to have it tell me the crossreferenced "score".
For example: If the data table below was for "males" and the age was
43 and the person did 21 repitions, the returned score to me would be
50.
Your help with figuring out this formula is much appreciated!
Reps 17-21 22-26 27-31 32-36 37-41 42-46 47-51
0 0 0 0 0 0 0 0
5 9 20 24 28 30 32 36
6 10 21 25 29 31 33 38
7 12 22 26 30 32 34 39
8 13 23 27 31 33 36 40
9 14 25 28 32 34 37 41
10 16 26 29 33 35 38 42
11 17 27 31 34 36 39 44
12 19 28 32 35 37 40 45
13 20 29 33 36 38 41 46
14 21 30 34 37 39 42 47
15 23 31 35 38 41 43 48
16 24 33 36 39 42 44 49
17 26 34 37 41 43 46 51
18 27 35 38 42 44 47 52
19 28 36 39 43 45 48 53
20 30 37 40 44 46 49 54
21 31 38 41 45 47 50 55
22 32 39 42 46 48 51 56
23 34 41 43 47 49 52 58
and one for "Females"
Based on whether male or female is identified, the other (2)
identifying variables are age (within the ranges for each column) and
number of reps completed down the far left column.
By identifing:
1) Male or Female
2) Age
3) Number of Repititions
I need to have it tell me the crossreferenced "score".
For example: If the data table below was for "males" and the age was
43 and the person did 21 repitions, the returned score to me would be
50.
Your help with figuring out this formula is much appreciated!
Reps 17-21 22-26 27-31 32-36 37-41 42-46 47-51
0 0 0 0 0 0 0 0
5 9 20 24 28 30 32 36
6 10 21 25 29 31 33 38
7 12 22 26 30 32 34 39
8 13 23 27 31 33 36 40
9 14 25 28 32 34 37 41
10 16 26 29 33 35 38 42
11 17 27 31 34 36 39 44
12 19 28 32 35 37 40 45
13 20 29 33 36 38 41 46
14 21 30 34 37 39 42 47
15 23 31 35 38 41 43 48
16 24 33 36 39 42 44 49
17 26 34 37 41 43 46 51
18 27 35 38 42 44 47 52
19 28 36 39 43 45 48 53
20 30 37 40 44 46 49 54
21 31 38 41 45 47 50 55
22 32 39 42 46 48 51 56
23 34 41 43 47 49 52 58