Section 2 Analysis Interpret the scatter plots and designate the type of relationship using regression parameters (increasing positive, decreasingegative, or no relationship) observed in each one Determine what you can conclude from these relationships You need to include a copy of each chart in your report Section 3 Expansion Criteria What are the expansion criteria and why Section 4 Recommendations and Implementation Based on the findings, assess which expansion criteria seem to be more effective Could any expansion criterion be changed or eliminated If so, which one(s) and why Based on the findings, does it appear as if the loyalty card is positively correlated with sales growth Would you recommend any changes to this marketing strategy Based on the findings, recommend market positioning that targets a specific demographic (Hint Are younger people patronizing the restaurants more than older people ) Include how the local culture and communities are represented in your market position in your recommendations Indicate what information should be collected to track and evaluate the effectiveness of your recommendations How can this data be collected (Hint Would you use surveys samples or census ) f fScatterplots and regression equations Sales SqFt vs College Sales SqFt vs Median Age Graduates 1,200 00 1,200 00 y 2 2452x 499 34 1,000 00 R2 0 0036 y 6 6996x 244 03 1,000 00 R2 0 1169 800 00 800 00 Sales Sq Ft ($) 600 00 Sales Sq Ft ($) 600 00 400 00 400 00 200 00 200 00 0 00 0 00 0 10 20 30 40 50 0 0 10 0 20 0 30 0 40 0 50 0 Bach Degrees ( ) Median Age (Years)Sales SqFt vs Median Loyalty Card vs Sales Income Growth 1,200 00 35 00 y 0 0002x 431 11 1,000 00 R2 0 0005 30 00 y 3 5596x 14 628 R2 0 0881 25 00 800 00 20 00 Sales Sq Ft ($) 600 00 15 00 Sales Growth ( ) 10 00 400 00 5 00 200 00 0 00 5 00 1 00 2 00 3 00 4 00 0 00 0 50000 100000 150000 10 00 Median Income ($) 15 00 Loyalty Card ( )Additional (not required) graph to justify recommendations Median Income vs College Graduates 140000 y 1410 3x 25701 R2 0 3045 120000 100000 80000 Median Income ($ 60000 40000 20000 0 O 10 20 30 40 50 Bach Degrees ( )

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Section 2: Analysis Interpret the scatter plots and designate the type of relationship using regression parameters (increasing/positive, decreasingegative, or no relationship) observed in each one.

Section 2: Analysis

Interpret the scatter plots and designate the type of relationship using regression parameters (increasing/positive, decreasingegative, or no relationship) observed in each one.
Determine what you can conclude from these relationships. You need to include a copy of each chart in your report.

Section 3: Expansion Criteria

What are the expansion criteria and why?

Section 4: Recommendations and Implementation;

Based on the findings, assess which expansion criteria seem to be more effective. Could any expansion criterion be changed or eliminated? If so, which one(s) and why?
Based on the findings, does it appear as if the loyalty card is positively correlated with sales growth? Would you recommend any changes to this marketing strategy?
Based on the findings, recommend market positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)
Include how the local culture and communities are represented in your market position in your recommendations.
Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: Would you use surveys/samples or census?)

\f\fScatterplots and regression equations Sales/SqFt vs. College Sales/SqFt vs. Median Age Graduates 1,200.00 1,200.00 y = -2.2452x + 499.34 1,000.00 R2 = 0.0036 y = 6.6996x + 244.03 1,000.00 R2 = 0.1169 800.00 800.00 Sales/Sq.Ft. ($) 600.00 Sales/Sq.Ft. ($) 600.00 400.00 400.00 200.00 200.00 0.00 0.00 0 10 20 30 40 50 0.0 10.0 20.0 30.0 40.0 50.0 Bach. Degrees (%) Median Age (Years)Sales/SqFt vs. Median Loyalty Card vs. Sales Income Growth 1,200.00 35.00 y = -0.0002x + 431.11 1,000.00 R2 = 0.0005 30.00 y = -3.5596x + 14.628 R2 = 0.0881 25.00 800.00 20.00 Sales/Sq.Ft. ($) 600.00 15.00 +..... Sales Growth (%) 10.00 400.00 5.00 200.00 0.00 -5.00 1.00 .2.00 3.00 4.00 0.00 0 50000 100000 150000 -10.00 Median Income ($) -15.00 Loyalty Card (%)Additional (not required) graph to justify recommendations Median Income vs. College Graduates 140000 y = 1410.3x + 25701 R2 = 0.3045 120000 100000 80000 Median Income ($ 60000 40000 20000 0 O 10 20 30 40 50 Bach. Degrees (%)