2. Baldur is a big fan of salaries. He collects data on wages and the length of schooling the people had from 100 employees in a large company with the aim of creating a model that can predict wages by level of education (measured in the number of years in school after primary school). The employees with the lowest level of education in Baldur's data immediately entered the labor market after compulsory school leaving, while those with the highest level of education have completed 9 years of schooling after leaving compulsory school leaving. Baldur started by drawing the data and saw that the relationship is linear. He also calculated some fish sizes that can be seen below:

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2. Baldur is a big fan of salaries. He collects data on wages and the length of schooling the
people had from 100 employees in a large company with the aim of creating a model that
can predict wages by level of education (measured in the number of years in school after
primary school). The employees with the lowest level of education in Baldur's data
immediately entered the labor market after compulsory school leaving, while those with the
highest level of education have completed 9 years of schooling after leaving compulsory
school leaving. Baldur started by drawing the data and saw that the relationship is linear. He
also calculated some fish sizes that can be seen below:
standard
Change
average
deviation
salary
660020
150100
Education (year from primary school diploma)
5.5
2.2
He also calculated the correlation coefficient between salary and level of education
(measured in the number of years in school from primary school exam) and obtained r =
0.55.
a.) Find the equation regression line of the least squares for Baldur's model.
b.) What is the explanatory power of the model and what does it tell us?
c.) How much does the salary of the company's employees increase for each year in
school in excess of the primary school diploma according to the model?
d.) Georg has completed 5 university degrees and spent a full 17 years in school after
primary school. Use the model to predict Georg's salary. Is the forecast reliable?
Justify.
e.) Gunnar wants to investigate with the appropriate hypothesis whether the
correlation coefficient is different from zero. What is the value of the test size that
Gunnar should use?
Transcribed Image Text:2. Baldur is a big fan of salaries. He collects data on wages and the length of schooling the people had from 100 employees in a large company with the aim of creating a model that can predict wages by level of education (measured in the number of years in school after primary school). The employees with the lowest level of education in Baldur's data immediately entered the labor market after compulsory school leaving, while those with the highest level of education have completed 9 years of schooling after leaving compulsory school leaving. Baldur started by drawing the data and saw that the relationship is linear. He also calculated some fish sizes that can be seen below: standard Change average deviation salary 660020 150100 Education (year from primary school diploma) 5.5 2.2 He also calculated the correlation coefficient between salary and level of education (measured in the number of years in school from primary school exam) and obtained r = 0.55. a.) Find the equation regression line of the least squares for Baldur's model. b.) What is the explanatory power of the model and what does it tell us? c.) How much does the salary of the company's employees increase for each year in school in excess of the primary school diploma according to the model? d.) Georg has completed 5 university degrees and spent a full 17 years in school after primary school. Use the model to predict Georg's salary. Is the forecast reliable? Justify. e.) Gunnar wants to investigate with the appropriate hypothesis whether the correlation coefficient is different from zero. What is the value of the test size that Gunnar should use?
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