Question
The following data comprising the number of customers (in hundred) and monthly sales (in thousand Rupees):
| Number of Customers (in hundred) | 4 | 6 | 6 | 8 | 10 | 14 | 18 | 20 | 22 | 26 | 28 | 30 | ||||||||||
| Monthly Sales (in thousand Rs) | 1.8 | 3.5 | 5.8 | 7.8 | 8.7 | 9.8 | 10.7 | 11.5 | 12.9 | 13.6 | 14.2 | 15 | ||||||||||
Calculate the residuals and determine the standardised residuals for the model
Answer :
Word Count : 337
To solve this numerically, we need to: 1. Calculate the predicted values (\(\hat{Y}\)) using the given regression equation: \[ Y = 2.6185 + 0.4369 X \] where \(X\) is the number of customers (in hundred). 2. Find the residuals (\(e_i\)) using: \[ e_i = Y_i - \hat{Y}_i \] where \(Y_i\) is the actual monthly sales and ______ ____ ____ _______ ______ __________ _________.
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To solve this numerically, we need to: 1. Calculate the predicted values (\(\hat{Y}\)) using the given regression equation: \[ Y = 2.6185 + 0.4369 X \] where \(X\) is the number of customers (in hundred). 2. Find the residuals (\(e_i\)) using: \[ e_i = Y_i - \hat{Y}_i \] where \(Y_i\) is the actual monthly sales and ______ ____ ____ _______ ______ __________ _________.
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