A study was conducted to assess the influence of various factors on the start of newfirms in the computer chip industry. For a sample of 70 countries the followingmodel was estimated:ŷ = -59.31 + 4.983x1 + 2.198x2 + 3.816x3 – 0.310x4(1.156)(0.210)(2.063)(0.330)-0.886x5 + 3.215x6 + 0.85x7(3.055)(1.568)(0.354)R2 = 0.766whereŷ = new business starts in the industryX1 = population in millionsX2 = industry sizex3 = measure of economic quality of lifemeasure of political quality of lifemeasure of environmental quality of lifemeasure of health and educational qualityof lifeX4X5X6 =x7 = measure of social quality of lifeThe numbers in parentheses under the coefficients are the estimated coefficientstandard errors.(a) Determine which coefficients in the model are statistically significant? Provide ajustification for your answer.(b) Is the overall regression equation statistically significant at the 1% level? Justifyyour answer.

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Description: A study was conducted to assess the influence of various factors on the start of newfirms in the computer chip industry. For a sample of 70 countries the followingmodel was estimated:ŷ = -59.31 + 4.983x1 + 2.198x2 + 3.816x3 – 0.310x4(1.156)(0.210)(2

The provided information is: The total number of observations (n) is 70. The regression model is:…

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A study was conducted to assess the influence of various factors on the start of new firms in the computer chip industry. For a sample of 70 countries the following model was estimated: ŷ = -59.31 + 4.983x1 + 2.198x2 + 3.816x3 – 0.310x4 (1.156) (0.210) (2.063) (0.330) -0.886x5 + 3.215x6 + 0.85x7 (3.055) (1.568) (0.354) R? = 0.766 where ŷ = new business starts in the industry X1 = population in millions x2 = industry size X3 = measure of economic quality of life X4 = measure of political quality of life X5 = measure of environmental quality of life X6 = measure of health and educational quality of life %3D x7 = measure of social quality of life The numbers in parentheses under the coefficients are the estimated coefficient standard errors. (a) Determine which coefficients in the model are statistically significant? Provide a justification for your answer. (b) Is the overall regression equation statistically significant at the 1% level? Justify your answer.

A study was conducted to assess the influence of various factors on the start of new firms in the computer chip industry. For a sample of 70 countries the following model was estimated: ŷ = -59.31 + 4.983x1 + 2.198x2 + 3.816x3 – 0.310x4 (1.156) (0.210) (2.063) (0.330) -0.886x5 + 3.215x6 + 0.85x7 (3.055) (1.568) (0.354) R? = 0.766 where ŷ = new business starts in the industry X1 = population in millions x2 = industry size X3 = measure of economic quality of life X4 = measure of political quality of life X5 = measure of environmental quality of life X6 = measure of health and educational quality of life %3D x7 = measure of social quality of life The numbers in parentheses under the coefficients are the estimated coefficient standard errors. (a) Determine which coefficients in the model are statistically significant? Provide a justification for your answer. (b) Is the overall regression equation statistically significant at the 1% level? Justify your answer.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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A study was conducted to assess the influence of various factors on the start of new
firms in the computer chip industry. For a sample of 70 countries the following
model was estimated:
ŷ = -59.31 + 4.983x1 + 2.198x2 + 3.816x3 – 0.310x4
(1.156)
(0.210)
(2.063)
(0.330)
-0.886x5 + 3.215x6 + 0.85x7
(3.055)
(1.568)
(0.354)
R2 = 0.766
where
ŷ = new business starts in the industry
X1 = population in millions
X2 = industry size
x3 = measure of economic quality of life
measure of political quality of life
measure of environmental quality of life
measure of health and educational quality
of life
X4
X5
X6 =
x7 = measure of social quality of life
The numbers in parentheses under the coefficients are the estimated coefficient
standard errors.
(a) Determine which coefficients in the model are statistically significant? Provide a
justification for your answer.
(b) Is the overall regression equation statistically significant at the 1% level? Justify
your answer.

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