Due to erosion, a river shoreline is losing several thousand pounds of
soil each year. A linear equation that expresses thetotal amount of soil
lost per year is y = 12,000x.
How many pounds of soil does the shoreline lose in a year? Round to a
whole number. Don't use any commas or decimals.
Answer:
___12000___
Which of the following equations are linear?
8x3+4y2
y=6x+8
3y=6x+5y2
y-x=8x2
View Feedback
You move out into the country and you notice every Spring there are
more and more Deer Fawns that appear. You decideto try and predict
how many Fawns there will be for the up coming Spring.
You collect data to, to help estimate Fawn Count for the upcoming
Spring season. You collect data on over the past 10years.
x1 = Adult Deer Count
x2 = Annual Rain in Inches
,x3 = Winter Severity
•Where Winter Severity Index:
o 1 = Warm
o 2 = Mild
o 3 = Cold
o 4 = Freeze
o 5 = Severe
Find the estimated regression equation which can be used toestimate
Fawn Count when using these 3 variables are predictor variables.
See Attached Excel for Data.
Deer data.xlsx
Fawn Count = 0.8643 + 0.0853(Adult Count) + 0.0908(Annual Rain) + 0.0568(Winter
Severity)
Fawn Count = -5.5591 + 0.3071(Adult Count) + 0.3978(Annual Rain) + 0.2493(Winter
Severity)
Fawn Count = 0.9661 + 0.9886(Adult Count) + 0.9774(Annual Rain) + 0.1105(Winter
Severity)
Fawn Count = -6.4320 + 3.5626(Adult Count) + 4.3813(Annual Rain) + 4.3878(Winter
Severity)
View Feedback
You are thinking about opening up a Starbucks in your area but what
to know if it is a good investment. How much moneydo Starbucks
actually make in a year? You collect data to, to help estimate Annual
Net Sales, in thousands, of dollars to know how much money you will
be making.
You collect data on 27 stores to help make your decision.
, x1 = Rent in Thousand per month
x2 = Amount spent on Inventory in Thousand per month x3 =
Amount spent on Advertising in Thousand per monthx4 = Sales
in Thousand per month
x5= How many Competitors stores are in the Area
Approximately what percentage of the variation in Annual NetSales is
accounted for by these 5 variables in this model?
See Attached Excel for Data.
Starbuck Sales data.xlsx
99.25% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
98.24% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
27.62% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
99.11% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
View Feedback
With Obesity on the rise, a Doctor wants to see if there is a linear
relationship between the Age and Weight and estimating a person's
Systolic Blood Pressure. Is there a significant linear relationship
between Age and Weight and aperson's Systolic Blood Pressure?
If so, what is/are the significant predictor(s) for Systolic Blood
Pressure?
soil each year. A linear equation that expresses thetotal amount of soil
lost per year is y = 12,000x.
How many pounds of soil does the shoreline lose in a year? Round to a
whole number. Don't use any commas or decimals.
Answer:
___12000___
Which of the following equations are linear?
8x3+4y2
y=6x+8
3y=6x+5y2
y-x=8x2
View Feedback
You move out into the country and you notice every Spring there are
more and more Deer Fawns that appear. You decideto try and predict
how many Fawns there will be for the up coming Spring.
You collect data to, to help estimate Fawn Count for the upcoming
Spring season. You collect data on over the past 10years.
x1 = Adult Deer Count
x2 = Annual Rain in Inches
,x3 = Winter Severity
•Where Winter Severity Index:
o 1 = Warm
o 2 = Mild
o 3 = Cold
o 4 = Freeze
o 5 = Severe
Find the estimated regression equation which can be used toestimate
Fawn Count when using these 3 variables are predictor variables.
See Attached Excel for Data.
Deer data.xlsx
Fawn Count = 0.8643 + 0.0853(Adult Count) + 0.0908(Annual Rain) + 0.0568(Winter
Severity)
Fawn Count = -5.5591 + 0.3071(Adult Count) + 0.3978(Annual Rain) + 0.2493(Winter
Severity)
Fawn Count = 0.9661 + 0.9886(Adult Count) + 0.9774(Annual Rain) + 0.1105(Winter
Severity)
Fawn Count = -6.4320 + 3.5626(Adult Count) + 4.3813(Annual Rain) + 4.3878(Winter
Severity)
View Feedback
You are thinking about opening up a Starbucks in your area but what
to know if it is a good investment. How much moneydo Starbucks
actually make in a year? You collect data to, to help estimate Annual
Net Sales, in thousands, of dollars to know how much money you will
be making.
You collect data on 27 stores to help make your decision.
, x1 = Rent in Thousand per month
x2 = Amount spent on Inventory in Thousand per month x3 =
Amount spent on Advertising in Thousand per monthx4 = Sales
in Thousand per month
x5= How many Competitors stores are in the Area
Approximately what percentage of the variation in Annual NetSales is
accounted for by these 5 variables in this model?
See Attached Excel for Data.
Starbuck Sales data.xlsx
99.25% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
98.24% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
27.62% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
99.11% of variation in the Annual Net Sales is accounted for by Rent, Inventory,
Advertising, Sales per Month and # of Competitor store in this model.
View Feedback
With Obesity on the rise, a Doctor wants to see if there is a linear
relationship between the Age and Weight and estimating a person's
Systolic Blood Pressure. Is there a significant linear relationship
between Age and Weight and aperson's Systolic Blood Pressure?
If so, what is/are the significant predictor(s) for Systolic Blood
Pressure?
