The head of the production department of a RM electronic company wants to determine the relationship between the number of workers who assemble the product and the number of units assembled per day. No. of workers 10 12 14 16 13 20 18 17 No. of units produced. 120 180 220 224 176 320 270 275 1. Find the values of the following a. Ex = b. ΣΥ = c. ΣXY = d. Σx2 = ΣΥ2 = e. f. r = 2. How would you interpret the value of Pearson's correlation coefficient? 3. Test whether the correlation is significant at 5% level of significance. 4. Complete the table: X Y XY X² Y2

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter6: The Trigonometric Functions
Section6.2: Trigonometric Functions Of Angles
Problem 70E
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The head of the production department of a RM electronic company wants to determine the relationship between the number of workers who assemble the product and the number of units assembled per day. with solution and explanation please.
The head of the production department of a RM electronic company wants to determine the relationship
between the number of workers who assemble the product and the number of units assembled per day.
No. of workers
10 12
14
16
13
20
18
17
No. of units produced. 120 180
220
224
176
320
270
275
1. Find the values of the following
a. ΣX =
b. ΣΥ =
c. ΣXY =
d. Σx2 =
e. ΣΥ2 =
f.
r =
2.
How would you interpret the value of Pearson's correlation coefficient?
3. Test whether the correlation is significant at 5% level of significance.
4. Complete the table:
X
Y
XY
X²
R
Y2
Transcribed Image Text:The head of the production department of a RM electronic company wants to determine the relationship between the number of workers who assemble the product and the number of units assembled per day. No. of workers 10 12 14 16 13 20 18 17 No. of units produced. 120 180 220 224 176 320 270 275 1. Find the values of the following a. ΣX = b. ΣΥ = c. ΣXY = d. Σx2 = e. ΣΥ2 = f. r = 2. How would you interpret the value of Pearson's correlation coefficient? 3. Test whether the correlation is significant at 5% level of significance. 4. Complete the table: X Y XY X² R Y2
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