In: Statistics and Probability
At Brokerage firms, Customer satisfaction (dependent variable) is thought to be a function of speed of transactions and the size of the company (independent variables). Using excel determine the additional satisfaction rating that a customer derives from working with a large (L) company. Enter the increase in the satisfaction rating below.
(Note: ignore the p-value associated with customer size for this analysis.)
Brokerage | Size | Speed | Overall Sat |
Scottrade, Inc. | S | 3.4 | 3.5 |
Charles Schwab | S | 3.3 | 3.4 |
Fidelity Brokerage Services | L | 3.4 | 3.9 |
TD Ameritrade | L | 3.6 | 3.6 |
E*Trade Financial | S | 3.2 | 2.9 |
(Not listed) | L | 3.2 | 2.7 |
Vanguard Brokerage Services | S | 3.8 | 2.8 |
USAA Brokerage Services | S | 3.8 | 3.6 |
Thinkorswim | L | 2.6 | 2.6 |
Banc of America Investment Services | L | 1.0 | 2.0 |
We have followed following steps to perform regression analysis in excel:
1. On the Data tab, in the Analysis group, click the Data Analysis button.
2. Select Regression and click OK.
3.In the Regression dialog box, configure the following settings:
4. Click OK and observe the regression analysis output created by Excel.
Please note for regression analysis we replaced S (Small Size) as 0 and L (Large Size) as 1 under Size column.
Following is the regression output that we obtained:
Based on regression output, we can write regression equation as:
Overall Sat. = 1.18 + 0.15*Size + 0.59*Speed
For Small company Size = 0, so regression equation for small company is:
Overall Sat. = 1.18 + 0.15*0 + 0.59*Speed
Overall Sat. = 1.18 + 0.59*Speed
For Small company Size = 1, so regression equation for large company is:
Overall Sat. = 1.18 + 0.15*1 + 0.59*Speed
Overall Sat. = 1.18 + 0.15 + 0.59*Speed = 1.33 + 0.59*Speed
Comparing regression equation of small and large company, we have see that additional satisfaction rating that a customer derives from working with a large (L) company is 0.15