Automobile racing, high-performance driving schools, and driver education programs run by automobile clubs continue to grow in popularity. All these activities require the participant to wear a helmet that is certified by the Snell Memorial Foundation, a not-for-profit organization dedicated to research, education, testing, and development of helmet safety standards. Snell "SA" (Sports Application)-rated professional helmets are designed for auto racing and provide extreme impact resistance and high fire protection. One of the key factors in selecting a helmet is weight, since lower weight helmets tend to place less stress on the neck. The data in the Excel Online file below show the weight and price for 18 SA helmets. Construct a spreadsheet to answer the following questions.

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Automobile racing, high-performance driving schools, and driver education programs run by automobile clubs continue to grow in popularity. All these activities require the participant to wear a helmet that is certified by the Snell Memorial Foundation, a not-for-profit organization dedicated to research, education, testing, and development of helmet safety standards. Snell "SA" (Sports Application)-rated professional helmets are designed for auto racing and provide extreme impact resistance and high fire protection. One of the key factors in selecting a helmet is weight, since lower weight helmets tend to place less stress on the neck. The data in the Excel Online file below show the weight and price for 18 SA helmets. Construct a spreadsheet to answer the following questions.

 

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Weight (oz)
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Price ($)
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Draw Page Layout
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Part a.
Part c.
Calculation Mode: Automatic Workbook Statistics
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Formulas
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View
ab
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Help
General
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←.0
.00
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.00
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After reading these instructions delete all text in this shaded area.
Use the XLMiner Analysis ToolPak to conduct your Linear Regression analysis.
After deleting all text in this shaded area, set the output range in the ToolPak to the top left cell of this area (F22).
Your Linear Regression analysis output should fit into this shaded
M
N
O
>
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Comments
S
100% +
Transcribed Image Text:Excel template - Saved R4 12345678921 10 File 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 25 Home A Weight (oz) 64 64 64 64 58 47 49 59 66 58 58 52 52 63 62 54 63 63 Insert Data Arial B Price ($) 251 272 208 200 306 692 901 337 209 292 301 473 470 373 379 550 247 285 + fx с Draw Page Layout ✓10 E Part a. Part c. Calculation Mode: Automatic Workbook Statistics B Formulas ↓ Search (Option + Q) Data Review F Use the area below to draw a scatter diagram. H View ab I Help General J K > ←.0 .00 L .00 →.0 After reading these instructions delete all text in this shaded area. Use the XLMiner Analysis ToolPak to conduct your Linear Regression analysis. After deleting all text in this shaded area, set the output range in the ToolPak to the top left cell of this area (F22). Your Linear Regression analysis output should fit into this shaded M N O > Σ P Editing ✓ AT Give Feedback to Microsoft R Comments S 100% +
50
The regression equation is (to 1 decimal)
Price (pred) =
+
R-Sq
R-Sq (adj)
60
Weight (oz)
b. Does there appear to be any relationship between these two variables?
There appears to be a negative
linear relationship between the two variables. The heavier helmets tend to be less expensive.
c. Develop the estimated regression equation that can be used to predict the price given the weight. Also report the standard error of the estimate,
R-sq, and
R-sq adj.
S =
We can conclude
55
=
Check My Work
Weight
(to 4 decimals)
(to 4 decimals)
(to 4 decimals)
d. Test for the significance of the relationship at the .05 level of significance.
P-value is
(to 4 decimals).
65
that the two variables are related.
e. Did the estimated regression equation provide a good fit?
R-sq is
(to 4 decimals).
The estimated regression equation provided a good
Reset Problem
70
fit.
Transcribed Image Text:50 The regression equation is (to 1 decimal) Price (pred) = + R-Sq R-Sq (adj) 60 Weight (oz) b. Does there appear to be any relationship between these two variables? There appears to be a negative linear relationship between the two variables. The heavier helmets tend to be less expensive. c. Develop the estimated regression equation that can be used to predict the price given the weight. Also report the standard error of the estimate, R-sq, and R-sq adj. S = We can conclude 55 = Check My Work Weight (to 4 decimals) (to 4 decimals) (to 4 decimals) d. Test for the significance of the relationship at the .05 level of significance. P-value is (to 4 decimals). 65 that the two variables are related. e. Did the estimated regression equation provide a good fit? R-sq is (to 4 decimals). The estimated regression equation provided a good Reset Problem 70 fit.
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