SIX A. The following data set shows the monthly demand for a specific computer printer at various price levels Demand Price 36 $70 23 $80 12 06$ 16 $100 14 $110 10 $120 $130 $140 (i) Calculate the correlation coefficient between demand and pric- (ii) Test the significance of the correlation coefficient betweer and demand using a=0.01.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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ESTION SIX
A. The following data set shows the monthly demand for a specific computer
printer at various price levels
Demand
Price
36
$70
23
$80
12
$90
16
$100
14
$110
10
$120
$130
$140
(i) Calculate the correlation coefficient between demand and price.
(ii) Test the significance of the correlation coefficient between
and demand using a=0.01.
Transcribed Image Text:ESTION SIX A. The following data set shows the monthly demand for a specific computer printer at various price levels Demand Price 36 $70 23 $80 12 $90 16 $100 14 $110 10 $120 $130 $140 (i) Calculate the correlation coefficient between demand and price. (ii) Test the significance of the correlation coefficient between and demand using a=0.01.
B. Describe the procedure to identify the line of best-fit y =a+bx including the
formulas for a and b.
C. The following data set shows the payroll in thousand kwacha for eight
major football teams for a particular season and number of times the
teams won that season.
Payroll
Wins
K209
89
K139
74
K101
86
K74
74
K67
68
K49
67
K119
97
K98
92
(i) Identify the linear equation that best fits the data and interpret the
results.
(ii) Predict the number of wins for a team that has invested k90
thousand in payroll.
Transcribed Image Text:B. Describe the procedure to identify the line of best-fit y =a+bx including the formulas for a and b. C. The following data set shows the payroll in thousand kwacha for eight major football teams for a particular season and number of times the teams won that season. Payroll Wins K209 89 K139 74 K101 86 K74 74 K67 68 K49 67 K119 97 K98 92 (i) Identify the linear equation that best fits the data and interpret the results. (ii) Predict the number of wins for a team that has invested k90 thousand in payroll.
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