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Digi Telecommunication Sdn. Bhd wishes to determine the relation between weekly advertising expenditures A and sales S in Ringgit Malaysia. The recorded data is tabulated in Table 4.1. Table 4.1 A | 41 | 21 | 26 | 21 41 | 21 | 51 | 41 | 26 | 51 31 51 S 385 400 | 395 | 365 | 475 440 | 490 | 420 | 560 | 525 | 480 | 510 i) Obtain the regression model to predict weekly sales from advertising expenditures, correct to 5 decimal places. ii) Plot a scatter diagram for data in Table 4.1. iii) Estimate the weekly sales when advertising costs are RM45.

Digi Telecommunication Sdn. Bhd wishes to determine the relation between weekly advertising expenditures A and sales S in Ringgit Malaysia. The recorded data is tabulated in Table 4.1. Table 4.1 A | 41 | 21 | 26 | 21 41 | 21 | 51 | 41 | 26 | 51 31 51 S 385 400 | 395 | 365 | 475 440 | 490 | 420 | 560 | 525 | 480 | 510 i) Obtain the regression model to predict weekly sales from advertising expenditures, correct to 5 decimal places. ii) Plot a scatter diagram for data in Table 4.1. iii) Estimate the weekly sales when advertising costs are RM45.

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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answer for question 4 a,b

Digi Telecommunication Sdn. Bhd wishes to determine the relation between weekly advertising expenditures A and sales S in Ringgit Malaysia. The recorded data is tabulated in Table 4.1. Table 4.1 A| 41 | 21 | 26 | 21 | 31 385 400 395 | 365 | 475 | 440 | 490 | 420 | 560 | 525 | 480 510 51 | 41 | 21 | 51 | 41 | 26 | 51 i) Obtain the regression model to predict weekly sales from advertising expenditures, correct to 5 decimal places. ii) Plot a scatter diagram for data in Table 4.1. iii) ... Estimate the weekly sales when advertising costs are RM45.
Transcribed Image Text:Digi Telecommunication Sdn. Bhd wishes to determine the relation between weekly advertising expenditures A and sales S in Ringgit Malaysia. The recorded data is tabulated in Table 4.1. Table 4.1 A| 41 | 21 | 26 | 21 | 31 385 400 395 | 365 | 475 | 440 | 490 | 420 | 560 | 525 | 480 510 51 | 41 | 21 | 51 | 41 | 26 | 51 i) Obtain the regression model to predict weekly sales from advertising expenditures, correct to 5 decimal places. ii) Plot a scatter diagram for data in Table 4.1. iii) ... Estimate the weekly sales when advertising costs are RM45.
b) The Forest Research Institute Malaysia (FRIM) is interested in researching the relationship between tree anatomy and mechanical qualities. An experiment in which 30 pines were randomly selected for investigation yielded the data of Table 4.2. Table 4.2 Specific gravity (g/cm³) 0.414 Modulus of rupture (КРa) 29186 Specific gravity (g/cm³) 0.581 0.557 0.550 0.531 Modulus of rupture (kPa) 85156 69571 0.383 29266 0.399 26215 30162 84160 73466 0.402 0.442 38867 37831 44576 46097 0.550 0.556 0.523 78610 0.422 0.466 0.500 67657 74017 87291 0.602 0.514 0.530 0.569 59698 67705 66088 0.569 0.544 0.557 86836 82540 81699 0.558 0.577 78486 89869 0.530 0.547 0.585 0.570 82096 75657 80490 0.572 0.548 77369 67095 77450 i) Show the procedure to evaluate the sample correlation coefficient (in 4 decimal places) based on the dependent and independent variables. ii) Interpret the correlation value based on the percentage of variation.
Transcribed Image Text:b) The Forest Research Institute Malaysia (FRIM) is interested in researching the relationship between tree anatomy and mechanical qualities. An experiment in which 30 pines were randomly selected for investigation yielded the data of Table 4.2. Table 4.2 Specific gravity (g/cm³) 0.414 Modulus of rupture (КРa) 29186 Specific gravity (g/cm³) 0.581 0.557 0.550 0.531 Modulus of rupture (kPa) 85156 69571 0.383 29266 0.399 26215 30162 84160 73466 0.402 0.442 38867 37831 44576 46097 0.550 0.556 0.523 78610 0.422 0.466 0.500 67657 74017 87291 0.602 0.514 0.530 0.569 59698 67705 66088 0.569 0.544 0.557 86836 82540 81699 0.558 0.577 78486 89869 0.530 0.547 0.585 0.570 82096 75657 80490 0.572 0.548 77369 67095 77450 i) Show the procedure to evaluate the sample correlation coefficient (in 4 decimal places) based on the dependent and independent variables. ii) Interpret the correlation value based on the percentage of variation.
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