# Calculate the Regression Coefficients Excel Task

### Description

All the questions are clearly mentioned in the file attached below. We need to solve in excel

Manage Color List

1. Code a comment with program and author names plus course and section numbers.

2. Define printMenu() to print a title line followed by menu items for:

printColorList  (p)

deleteColor     (d)

Exit            (x)

2. Define readColorFile() composed of statements to :

declare colorList then

with open “color.txt” for reading as colorFile have for colorLine in

colorFile, with statement body to replace(‘\n’ in each line, then

have colorsList append each line input, then return colorList to main().

3. Define printColorList with the parameter colorList and that is to print a

sorted colorList, lines single-spaced with color number and name.

4. Define addColor with parameter colorList to include an input() for color name,

followed by appending color to colorList, then print a confirmation message.

5. Define deleteColor(colorList) that has statements to: assign to an index a

color line number from user input, and assigns to color item the value

returned by a colorList pop of that color line number, then prints a delete

confirmation.

6. Define a main function with statements to:

assign to colorList the value returned by invoking readcolorFile,

assigns a menu choice returned by user input(),

followed by a selection structure with tests for values:

‘p’ for printColorList(),

‘d’ for deleteColor(), or

‘x’ exit

invoke main()

————————————————————-

*color.txt

Black

Red

Maroon

Yellow

Olive

Lime

Green

Aqua

Teal

Blue

Navy

Fuchsia

Purple

1. In an early study, researchers at a private University found that 33% of the freshmen had received at least one A in their first semester. University administrators have received report that grade inflation may have caused this percentage to increase recently. A random sample of 500 freshmen found that 180 had at least one A in their first semester. Calculate the appropriate test statistic and test the hypotheses related to the concern and test at 5% and 1%.
• A merchant needs a forecast for the sales of a product (in millions). He thinks that the sale is affected by expenditure on advertising (in millions of dollars). Based on the data set with six observations, the summary statistics are given below (X is expense on advertising expenditure in million dollars and Y is number of products sold in millions): ∑X = 24; ∑Y = 42; ∑X2 = 124; ∑Y2 = 338; ∑XY = 196 Find the Intercept and slope, write the Regression Equation, and interpret the results. Make a forecast for the sale of products (in millions) if the advertising expenditure is 5 million dollars. Calculate the correlation coefficient, coefficient of Determination. Verify the relationship between the coefficient of correlation and the coefficient of Determination. Calculate SSE and MSE and standard error of the slope coefficient and perform the test of significance.
• A product rating agency has the following data about the quality score for an electronic product and respective prices for 10 popular brands.

Brand               Price              Score

A                   2900                     55

B                    2800                                  54

C                    2700                 45

D                    3500                                  56

E                    3300                 54

F                    2000                                  35

G                    4200                 68

H                    3100                                  56

I                     2500                 32

J                      3000                                  45

Calculate the Regression coefficients based on the above data and explain what the values indicate. Measure the Goodness of Fit using the Coefficient of Determination and interpret the calculated value with respect to the model’s overall explanatory power. Also check the relationship between R2 and r.

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