Suppose we fit a regression line to predict the number of incidents of lung cancer per 10,000 people from the number of cigarettes smoked in a year. For a particular year, we predict the incidence of lung cancer to be 7.9 per 10,000 people, and the residual for this year is -0.42.
Did we overestimate or underestimate the incidence of lung cancer? Explain your reason
since we know that residual value =actual value -estimated value
the residual value is negative here which indicate that estimate value is greater than actual value
therefore we overestimate the incidence of lung cancer
Suppose we fit a regression line to predict the number of incidents of lung cancer per...
Spring 2019 Name, 33) If the 2 variables that we want to study are not mumeric, which method will we use to study their association? a) z2 table and calculations e) Normal distributions b) correlation and regression d) hon-linear correlation 34) If there is a high correlation between variables, the causality relationship between therm a) x causes y b) coincidence e) x and y are caused by a third variable(s) d) all of these are possibilities For items 35)-36): Suppose...
Lung Cancer & Smoking Case Study A causal relationship between cigarette smoking and lung cancer was first suspected in the 1920s on the basis of clinical observations. To test this apparent association, numerous epidemiologic studies were undertaken between 1930 and 1960. Two studies were conducted by Richard Doll and Austin Bradford Hill in Great Britain The first was a case-control study begun in 1947 comparing the smoking habits of lung cancer patients with the smoking habits of other patients. The...
Cigarette Smoking and Cancer Death Rates Deaths per year per 100,000 people Cigarettes Bladder per person Massachusetts (a) Draw a scatter diagram of cigarettes smoked versus death rate from bladder cancer 5. (b) Find the estimated regression line. (c) Test the hypothesis, at the 5 percent level of significance that cigarette consumption does not affect the death rate from bladder cancer (d) Repeat part (c) at the 1 percent level of significance.
4. Can we use the regression line to make reliable prediction of the number of deaths per 100,000? (Is there a significant correlation between the two factors?) a. Find the p-value for a hypothesis test to if there is significant correlation b. At the 5% significance level, what can you conclude about the correlation? C. Can we use the regression line to make reliable predictions? 5. Predict the number of deaths for ages 40 and 60 (use the midpoint when...
We were unable to transcribe this imageWe were unable to transcribe this imageUse the regression line to estimate the number of trials it would take to leam these tricks if a dolphin received five treats per trick. Y for X _ 5 would be The head dolphin trainer wants to save money by cutting down on the number of treats the dolphins get. She has asked you to use the least-squares regression line to predict how fast the dolphins can...
R programming R1. Below is a table showing a variety of countries (first column), the number of cigarettes consumed per adult per year (second column), and the rate at which people die from coronary heart disease CHD) per 100,000 people (third column). Put these data into a dataframe in R. Then run a linear regression that examines how CHD rates (response variable) are predicted by cigarette consumption (predictor variable). What is the equation of the regression line you get? What...
1. In the simple regression model y = + β1x + u, suppose that E (u) 0. Letting oo-E(u), show that the model can always be rewrit ten with the same slope, but a new intercept and error, where the new error has a zero expected value 2. The data set BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, nfan birth weight in ounces (bught), and an explanatory variable,...
Consider the following Excel regression output of Data Analysis (picture is autornaic) SUMMARY OUTPUT six data points on a restaurant bill and corresponding tip Bill Line Fit Plot 0.828159148 R Square 0.685847574 0.607309468 Adjusted R Square Standerd Error Predicted Tip 15e 100 ANOVA 0.041756749 93.1383292 42.66200414 135.8003333 93 1383292 10.60550103 8.732672652 Total Upper 95% tener 95% Prok 0933934844 0.041756749 Error 10.58103503 0.288243157 1.27559337 0.008985139 0.347279172 0.148614148 3.936081495 0.050290571 -0.06822967 2.955109584 Bitl (e) Positive correlation of 0.83 -strong corlation. Percentage of...
QUESTION THREE The weekly Hotel bill (HB) per traveller for COVID-19 mandatory quarantine accommodation and centres are in high demand in Accra due to the limited accommodation facilities for these persons. Government may withdraw from taking care of the costs as expert say that the COVID- 19 has come to stay with us similar to other diseases. For this reason, it has become imperative for travellers to carefully plan for their accommodation. Information has been gathered to help travellers predict...
FISCAL POLICY IN THEORY: March, 2020: we are on the verge of Congress and the President passing legislation that will empower the federal government to spend an unprecedented amount of EXTRA money not seen since World War 2 ---- in order to address the pandemic but also to help cushion the blow financially of perhaps ten or twenty million Americans --- or more --- losing their jobs, and thus suffering a drop in income. The scale of the 2020 recession...