What is the correlation between the interest rate and the yield of the stock?The correlation coefficient isPart: 2/3Part 3 of 3X5Predict the price when the prime interest rate is 4.5%. Round the answer to at least four decimal places.When the prime interest rate is 4.5%, the price is predicted to beXS Interpreting technology: The following display from the TI-84 Plus calculator presents the least-squares regression line for predicting the price of a certainstock (y) from the prime interest rate in percent (x).LinRegy = a + bxa=2.3447317b= 0.34056439²=0.4432104r=0.66574049Part: 0/3Part 1 of 3Write the equation of the least-squares regression line. Use the full accuracy shown in the calculator output (do not round your answers).Regression line equation: = 2.3447317X+0.34056439XS

It is given that the Ti-84 plus calculator output that present the least-squares regression line for…

Answered: What is the correlation between the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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7
We calculate the ____ ___ equation when we want to measure the exact percentage of the variability in the outcome that was explained by the independent variable.
Predict the percentage of female high school graduates in 2026. Round to the nearest tenth (1 decimal place). _______ Predict instantaneous rate of change of the percentage of female high school graduates in 2033. Round to the nearest hundredth (2 decimal places). _______ % per year
E4-45
How strong is this relationship? Obtain the correlation. (Provide your answer to four decimal places.) r=
need the correct solves asap plz
Government agencies keep data about the income distribution of the population. The Garcia family and Wood family live in a county with 6000 families. The Garcia family's income is at the 38 percentile. The Wood family's income is at the 73 th percentile. (If necessary, consult a list of formulas.) (a) Which of the following must be true about the Garcia family's and the Wood family's incomes? Both the Garcia family and the Wood family earn more than the median income. Both the Garcia family and the Wood family earn less than the median income. O The Wood family earns more than the Garcia family. O The Garcia family earns more than the Wood family. (b) Which of the following must be true about the Garcia family's income? O About 38% of the families in their county earn less than the Garcia family. O The Garcia family earns about 38% of the highest income in their county. O The Garcia family's income is in the top half of incomes in their county. O The Garcia family earns $38,000.
The air pressure in the cabin of fighter jet decreases as the plane ascends. Air Pressure in pounds per Altitude in 10,000 of feet square inch 1 10.200 2 6.375 3.984 4 2.490 A. The change is linear. The constant rate of change is about -3.825 . B. The change is linear. The constant rate of change is 0.0003825. C. The change is exponential. The common ratio is about 0.625. D. The change is exponential. The common ratio is about 1.6. Interpretation: A. The air pressure decreases by about 37.5% every 10,000 feet of altitude. B. The air pressure decreases 3.825 pounds per square inch per 10,000 feet of altitude. O C. The air pressure increases by about 62.5% every 10,000 feet of altitude. D. The air pressure decreases 0.625 pounds per square inch per 10,000 feet of altitude.
Q6 Given a data set where the response variable is normalized ( centered ) and it is know that the correlation between the individual predictor variable & response variable is, r 0.9. And, it is found that S,-10 and X=100. (i) Find B= a. Write the formula for B= (ii) Find B= (iii) (iv) Find the value the predictor, which yields the response variable to be 1 X Q7 There are several assumptions which are needed to be verified prior to using a univariate regression model and/or doing any traditional model analysis ( e.g. need to verify these assumptions prior to doing the actual regression or F/T tests etc ). Write down the two most essential mathematical assumptions needed by explaining them in a brief written statement (i) 1" = (ii) 2* = answer both questions plese
I already know it's a negative correlation and a exponential function I just need help with the other parts and calculations!
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 48 inches. Is the result close to the actual weight of 428 pounds? Use a significance level of 0.05. at Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r View an example 49 42 D 36 56 50 39 296 570 501 353 487 385 What is the regression equation? =+x (Round to one decimal place as needed.) H C Get more help. "' 10 √ ✔ (0,0) Clear all More X 67°F Sunny Incorrect: 0 Activate Windows Check answer Go to Settings to activate P 4
determine the two values of z such that the middle 50% of the data lie between the two z values. round the solutions to two decimal places , if necessary. The middle 50% of the data lie between z=___ and z=___.

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