Data for 50 U.S. “states” was used to examine the relationship between violent crime rate (violent crimes per 100,000 pe

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answerhappygod
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Data for 50 U.S. “states” was used to examine the relationship between violent crime rate (violent crimes per 100,000 pe

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Data for 50 U.S. “states” was used to examine the
relationship between violent crime rate (violent crimes per 100,000
persons per year) and the independent variables of urbanization
(percentage of the population living in urban areas) and poverty
rate. A 50 observations were examined. The Excel sheet output for
the analysis of this data is shown in the Figure.
Answer the following questions: (note: yo
Data For 50 U S States Was Used To Examine The Relationship Between Violent Crime Rate Violent Crimes Per 100 000 Pe 1
Data For 50 U S States Was Used To Examine The Relationship Between Violent Crime Rate Violent Crimes Per 100 000 Pe 1 (219.72 KiB) Viewed 115 times
u should show step by step procedures)
a)     Test for significance of all
regression parameters using 𝜶 = 𝟎.𝟎𝟏:
b)     If you know that in 2020 the
percentage of urbanization was 0.5, while no poverty recorded, what
would be the rate of violent crimes (per 100,000 persons per year)
that year?
Data For 50 U S States Was Used To Examine The Relationship Between Violent Crime Rate Violent Crimes Per 100 000 Pe 2
Data For 50 U S States Was Used To Examine The Relationship Between Violent Crime Rate Violent Crimes Per 100 000 Pe 2 (188.89 KiB) Viewed 115 times
Data for 50 U.S. “states” was used to examine the relationship between violent crime rate (violent crimes per 100,000 persons per year) and the independent variables of urbanization (percentage of the population living in urban areas) and poverty rate. A 50 observations were examined. The Excel sheet output for the analysis of this data is shown in the Figure. SUMMARY OUTPUT Regression Statistics Multiple R 0.837 R Square 0.700 Adjusted R Square 0.69 Standard Error 8.54 Observations 50 ANOVA df SS MS F Significance F 0.000 2 1030 54.9 Regression Residual Total 2060 882 47 18.77 49 2942 t Stat Coefficients 31.9 P-value 0.035 BO B1 (urbanization) B2 (Poverity) Standard Error 148.2 1.654 13.52 -2.17 2.83 -4.6 0.007 0.006 39.3 2.91 Answer the following questions: (note: you should chow step by step procedures) a) Test for significance of all
Regression Statistics Multiple R 0.837 R Square 0.700 Adjusted R Square 0.69 Standard Error 8.54 Observations 50 ANOVA SS MS F df 2 47 Significance F 0.000 2060 Regression Residual 54.9 1030 18.77 882 Total 49 2942 t Stat P-value -2.17 0.035 Во B1 (urbanization) B2 (Poverity) Coefficients 31.9 -4.6 39.3 Standard Error 148.2 1.654 13.52 2.83 2.91 0.007 0.006 Answer the following questions: (note: you should show step by step procedures) a) Test for significance of all regression parameters using a = 0.01: b) If you know that in 2020 the percentage of urbanization was 0.5, while no poverty recorded, what would be the rate of violent crimes (per 100,000 persons per year) that year? 1 A B I E E E 8 $$
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