Answered: 6. What is the exponential regression…

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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A particular article reported the accompanying data on phenotypes resulting from crossing tall cut-leaf tomatoes with dwarf potato-leaf tomatoes. There are four possible phenotypes: (1) tall cut-leaf, (2) tall potato-leaf, (3) dwarf cut-leaf, and (4) dwarf potato-leaf. Mendel's laws of inheritance imply that π₁ = 9/16, π₂ = 3/16, л3 = 3/16, and л4 = 1/16. Are the data from this experiment consistent with Mendel's laws? Use a 0.01 significance level. (Use 2 decimal places.) Phenotype 1 2 3 4 Frequency 925 289 294 103 x² = 1.178 ×
What is the regression equation and what is the value of y^y^ when x = 25? Group of answer choices 24.94 + 1.95x; 84.94 1.95 + 24.94x; 25 1.95 + 24.94x; 625.45 24.94 + 1.95x; 73.69 None of the above
Show the best fitted line on scatter diagram and Find the predicted value for each y using the exposure time and the equation obtained in part b (b. Find the equation of regression line between radiation doses on exposure time .usingleast square method)
approximate using linearization and use a calculator to compute the percentage error. (64.1)^ 1/3
10. You estimated a regression with the following output. Source | SS df MS Number of obs = 333 -------------+---------------------------------- F(1, 331) = 4608.21 Model | 32636494.1 1 32636494.1 Prob > F = 0.0000 Residual | 2344225.8 331 7082.25316 R-squared = 0.9330 -------------+---------------------------------- Adj R-squared = 0.9328 Total | 34980719.9 332 105363.614 Root MSE = 84.156 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 30.79902 .4537022 67.88 0.000 29.90652 31.69153 _cons | 20.85313 42.1964 0.49 0.621 -62.1538 103.8601…
Complete the missing information for this regression model. Note: N=26N=26. (Except for P-values, report all values accurate to 3 decimal places. For P-values, report accurate to 4 decimal places.) ˆYY^ = 26.759 + 0.818X10.818X1 −- 2.999X22.999X2 + X3X3 2.382 0.547 1.674 0.734 Standard Errors 11.234 1.495 t-ratios 0.0991 P-values
For the linear regression model Y = bo + b1(X): The p-value for the intercept is large: about 0.98 The p-value for the slope is very small: less than 2 times 10^(-16) What can we conclude? Since the p-value for the intercept is large, we can conclude that there is not a strong correlation between X and Y. Since the p-value for the intercept is large, we can conclude that there is a very strong correlation between X and Y. Since the p-value for the slope is very small, we can conclude that there is a very weak correlation between X and Y. Since the p-value for the slope is very small, we can conclude that there is a very strong correlation between X and Y. We are not able to assess the strength of the correlation between X and Y with the output provided.
The estimated regression equation for a model involving two independent variables and 10 observations follows. y = 33.0798 + 0.6071x1 + 0.7058x2 a. Interpret b₁ and b2 in this estimated regression equation (to 4 decimals). b₁ = - Select your answer - b₂ = - Select your answer - b. Estimate y when *₁ = 180 and ₂ = 310 (to 3 decimals).
Suppose you obtain the following regression model, E[y]=20+47*x +88*x^2. What is the impact of a 64 unit change of x on the expected value of y when x is at its mean of 57?

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6. What is the exponential regression model given the scatter plot below? y = 1.499 * 1.247^x y = 1.544 * 1.306^x y = 2.462 * 1.221^x y = 2.486 * 1.614^x