Select all correct interpretation of the estimated slope coefficient for income. There are three correct answers. Hint: I would suggest you look carefully at the raw dataset, specifically for Wisconsin, along with the rationale behind the interpretation of the MLR slope coefficients in lecture to help you answer this question. O If the per capita income in a state rose by one dollar, it would lead to roughly 3,179 additional residents in the state. V While keeping a state's life expectancy, high school graduation rate, and mean frosty days fixed, every additional dollar increase in per capita income would lead to roughly 3,179 additional residents in the state. After adjusting for life expectancy, high school graduation rate, and mean frosty days, one additional dollar in per capita income is expected to increase a state's population by roughly 3,179 residents. O If Wisconsin's per-capita income decreased by 10% while its life expectancy, high school graduation rate, and mean frost days remained the same, Wisconsin is expected to lose 10% of its residents. V If Wisconsin's per-capita income decreased by 10% while its life expectancy, high school graduation rate, and mean frost days remained the same, Wisconsin is expected to lose about 318 residents. V If Wisconsin's per-capita income decreased by 10% while its life expectancy, high school graduation rate, and mean frost days remained the same, Wisconsin is expected to lose about 1.420 million residents. If Wisconsin's per capita income decreased by 10%, it is expected to lose about 1.420 million residents. The unit of the slope for income is in dollars per thousand people.
Select all correct interpretation of the estimated slope coefficient for income. There are three correct answers. Hint: I would suggest you look carefully at the raw dataset, specifically for Wisconsin, along with the rationale behind the interpretation of the MLR slope coefficients in lecture to help you answer this question. O If the per capita income in a state rose by one dollar, it would lead to roughly 3,179 additional residents in the state. V While keeping a state's life expectancy, high school graduation rate, and mean frosty days fixed, every additional dollar increase in per capita income would lead to roughly 3,179 additional residents in the state. After adjusting for life expectancy, high school graduation rate, and mean frosty days, one additional dollar in per capita income is expected to increase a state's population by roughly 3,179 residents. O If Wisconsin's per-capita income decreased by 10% while its life expectancy, high school graduation rate, and mean frost days remained the same, Wisconsin is expected to lose 10% of its residents. V If Wisconsin's per-capita income decreased by 10% while its life expectancy, high school graduation rate, and mean frost days remained the same, Wisconsin is expected to lose about 318 residents. V If Wisconsin's per-capita income decreased by 10% while its life expectancy, high school graduation rate, and mean frost days remained the same, Wisconsin is expected to lose about 1.420 million residents. If Wisconsin's per capita income decreased by 10%, it is expected to lose about 1.420 million residents. The unit of the slope for income is in dollars per thousand people.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 7E
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MLR model, using r dataset, state.x77, with Population as the dependent variable, and Income, Life.Exp, HS.Grad, and Frost as the independent variables
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