You move out into the country and you notice every Spring there are more and more Deer Fawnsthat appear.You decide to try and predict how many Fawnsthere 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 10 years.

x1 = Adult Deer Count

x2 = Annual Rain in Inches

x3 = Winter Severity

• Where Winter Severity Index:
• 1 = Warm
• 2 = Mild
• 3 = Cold
• 4 = Freeze
• 5 = Severe

Is there a significant linear relationshipbetween these 3variables and Fawn Count?

If so, what is/are the significant predictor(s) for determining Fawn Count?

Fawn count 2.9000001 2.4000001 2 2.29999995 3.20000005 1.89999998 3.4000001 2.09999991 2.99999995 3.49999995

Adult Count 9.19999981 8.69999981 7.19999981 8.5 9.6 6.80000019 9.69999981 7.9000001 8.7555559 10.6999998

Annual Rain in Inches 13.19999981 11.5 10.80000019 12.30000019 12.60000038 10.60000038 14.10000038 11.19999981 12.34444319 14.20000038

Winter Severity 2 3 4 2 3 5 1 3 4 1

Winter Severity Index 1 = Warm 2 = Mild 3 = Cold 4 = Freeze 5 = Severe

• A.11.05% of variation in Fawn Count is accounted for by Adult Count, Annual Rain in inches and Winter Severityin this model.
• B.98.25% of variation in Fawn Count is accounted for by Adult Count, Annual Rain in inches and Winter Severityin this model.
• C.97.74% of variation in Fawn Count is accounted for by Adult Count, Annual Rain in inches and Winter Severityin this model.
• D.98.86% of variation in Fawn Count is accounted for by Adult Count, Annual Rain in inches and Winter Severityin this model.