1. If the second differences of a set of data are nearly constant, which model-linear, quadratic, or exponential-would be most appropriate to represent the data?
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- The quadratic model for the given data is wrong.In a quantitative analysis where widowed people suffering with bereavement suffer with a poor quality of life. Would Widowed Individuals be the Unit of Analysis? The quality of life be the dependent variable, therefore making bereavement the independent variable?According to human capital theory, a person’s earning is linked to her level of education – there is a relationship between workers income and years of education. Using data from the Labour Force Survey, a researcher found the following regression results for earnings on intercept, years of education, experience, and experience squared: Earnings = 5.24 + 0.035 educ + 0.165 exper – 0.003 exper2 (2.45) (0.012) (0.031) (0.001) Construct a 95% confidence interval for the effect of years of education on earnings ? 2. Consider an individual with 8 years of experience. What would you expect to be the return to two (2) additional years of experience (the effect on earnings)? 3. According to economic theory,…
- The relationship between sleep hours and overall happiness level on the next day was estimated as below in a linear format. (Happiness level is measured through a five-point scale: 1 = Extremely unhappy, 5 = Extremely happy) Overall happiness level = 0.27 * Sleep hours + 2.34 (The p-value for the coefficient of Sleep hours is 0.02.) Based on this equation, what is the expected happiness level of a person on a certain day, when he slept 7 hours the day before?please answer in excel Greenapple Services Inc. calls previous customers to introduce and sell their new products every months.The following data have been collected for the past year showing sales and number of calls on the same month: a) Develop a regression equation to forecast the Sales as a function of the calls. b) Suppose that the company would like to place 32 calls this month. Estimate the Sales in response to this amount of calls.A researcher wants to investigate the relationship between the length of a service call (in minutes) between a client and a computer technician, and the number of electronic components in the computer that must be repaired or replaced. The data is given in Table Q3. (a) Determine a relationship between the two variables mentioned above and comment on the relationship. (b) Estimate the number of components that need to be repaired if a customer spends half an hour on the phone for a service call (c) Estimate the length of the service call if a client has an issue that requires 12 components to be fixed.
- A) Compute the last-squares regression line for predicting US emission from NON US - emissions. b) If the non-US emission differ by 0.2 from one year to the next by how much would you predict the US- emission to differ?The regression equation is intended to be the “best fitting” straight line for a set of data. What is the criterion for “best fitting”?A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 a) Create the regression equation b) Interpret b0 and b1 values c) Test and interpret whether there is a linear relationship between the number of daily customers and the income obtained at the level of α = 0.05 significance. Could you explain this question again and in more detail especially not in excel image
- The November 24, 2001, issue of The Economist published economic data for 15 industrialized nations. Included were the percent changes in gross domestic product (GDP), industrial production (IP), consumer prices (CP), and producer prices (PP) from Fall 2000 to Fall 2001, and the unemployment rate in Fall 2001 (UNEMP). An economist wants to construct a model to predict GDP from the other variables. A fit of the model GDP = , + P,IP + 0,UNEMP + f,CP + P,PP + € yields the following output: The regression equation is GDP = 1.19 + 0.17 IP + 0.18 UNEMP + 0.18 CP – 0.18 PP Predictor Coef SE Coef тР Constant 1.18957 0.42180 2.82 0.018 IP 0.17326 0.041962 4.13 0.002 UNEMP 0.17918 0.045895 3.90 0.003 CP 0.17591 0.11365 1.55 0.153 PP -0.18393 0.068808 -2.67 0.023 Predict the percent change in GDP for a country with IP = 0.5, UNEMP = 5.7, CP = 3.0, and PP = 4.1. a. b. If two countries differ in unemployment rate by 1%, by how much would you predict their percent changes in GDP to differ, other…The data in MEAPSINGLE were used to estimate the following equations relating school-level performance on a fourth-grade math test to socioeconomic characteristics of students attending school. The variable free,A research study was conducted at a local college collecting data on the models (brands) of cars parked in the student parking lot. This type of data collected would be considered/described as Qualitative Data or Quantitative Data?
