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- The following equations were estimated using the data in BWGHT: log(bwght) = 4.66 - 0044 cigs + .0093 log(faminc) + .016 parity (.0059) (.22) (.0009) (.006) + .027 male + .055 white (.010) (.013) 1,388, R = .0472 and log(bwght) 4.65 – .0052 cigs + .0110 log(faminc) + .017 parity (.006) (.38) (.0010) (.0085) + .034 male + .045 white – .0030 motheduc + .0032 fatheduc (.011) (.015) (.0030) (.0026) n = 1,191, R2 = .0493. %3DA 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 image1.39 Fur seals on St. Paul Island. Make a time plot of the number of fur seals born per year from Exercise 1.37. What does the time plot show that your stemplot in Exercise 1.37 did not show? When you have data collected over time, a time plot is often needed to understand what is happening. FURSEALS
- B. What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is____°F. C. What is wrong with this predicted value? The first variable should have been the dependent variable. It is unrealistically high. The value 3000 is far outside of the range of observed values. It is only an approximation. An unrounded value would be considered accurate. Nothing is wrong with this value. It can be treated as an accurate prediction.Acrylamide is a chemical that is sometimes found in cooked starchy foods and which is thought to increase the risk of certain kinds of cancer. The paper "A Statistical Regression Model for the Estimation of Acrylamide Concentrations in French Fries for Excess Lifetime Cancer Risk Assessment"t describes a study to investigate the effect of x = y = acrylamide concentration (in micrograms per kg) in French fries. The data in the accompanying table are approximate values read from a graph that appeared in the paper. frying time (in seconds) and %3D Frying Time Acrylamide Concentration 150 155 240 115 240 190 270 180 300 140 300 2659. (a) Explain the quickest method of finding the average price per kilo of wheat for 20 years when the given data gives the number of kilo per rupee for 10 years and the price in rupee per kilo for next 10 years. (b) and he gets a mileage of only 10 miles per gallon of gasoline. On the return trip he makes 15 miles per gallon. Find the harmonic mean of his mileage. Verify the fact that this is the proper average to use by assuming that the distance from A to B is 60 miles. A man motors from A to B. A large part of the distance is uphill
- Studies have shown that people who suffer sudden cardiac arrest have a better chance of survival if a defibrillator shock is administered very soon after cardiac arrest. How is survival rate related to the time between when cardiac arrest occurs and when the defibrillator shock is delivered? = survival rate (percent) and x = mean call-to-shock time (minutes) for a cardiac rehabilitation center (in which cardiac arrests occurred while victims were hospitalized The accompanying data give y and so the call-to-shock time tended to be short) and for four communities of different sizes. Mean call-to-shock time, x 2 6. 7 9. 12 Survival rate, y 91 46 32 4Please help me understand how to calcualate the Odds Ratio of the slope. A researcher is attempting to explore the relationship between study duration per day (0 - 8) and the passing of the science course (Pass=1, Fail=0). For this purpose, a sample of 36 students from Alabama University are chosen. Summary of the logistic regression model is given below in photo.Q. 24 What do you mean by relative efficiency" of an experi- mental design and how it is measured.