| 单词 | linear regression |
| 例句 | If False, correct it: Suppose you are performing a simple linear regression of Y on X and you test the hypothesis that the slope β is zero against a two-sided alternative. Introductory Business Statistics 2017-11-29T00:00:00Z Find the linear regression line using the cricket-chirp data in the example earlier in this section, and find the temperature if there are 30 chirps in 15 seconds. College Algebra with Corequisite Support 2020-09-23T00:00:00Z Use the data in the Table 12.35 to determine the linear regression line equation with the outliers removed. High School Statistics 2020-03-27T00:00:00Z We calculate the strength of the relationship between an independent variable and a dependent variable using linear regression. Introductory Statistics 2013-09-19T00:00:00Z Pick a set of 5 ordered pairs using inputs and use linear regression to verify that the function is a good fit for the data. Precalculus 2021-12-01T00:00:00Z To do so he fits a linear regression of average yield per year against year after introduction of "Miracle Wheat" for a ten year period. Introductory Business Statistics 2017-11-29T00:00:00Z Least squares regression is one means to determine the line that best fits the data, and here we will refer to this method as linear regression. Algebra and Trigonometry 2015-02-13T00:00:00Z It built on linear regression, a way to find a linear trend in a set of data. How AI detectives are cracking open the black box of deep learning 2017-07-06T04:00:00Z It is not appropriate to use a linear regression line to fit to the data. Introductory Statistics 2013-09-19T00:00:00Z Pick a set of 5 ordered pairs using inputs and use linear regression to verify the function. Precalculus 2021-12-01T00:00:00Z To account for the correlation in each Brazilian region we fit a linear regression model with a lag and two breakpoints. Establishment and cryptic transmission of Zika virus in Brazil and the Americas : Nature : Nature Research 2017-05-23T04:00:00Z If the data exhibits a nonlinear pattern, the correlation coefficient for a linear regression is meaningless. Algebra and Trigonometry 2015-02-13T00:00:00Z The shift for which this linear regression had the smallest mean squared error was chosen, and the slope of the theta precession was determined from the linear regression at that shift. Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit : Nature : Nature Research 2017-03-28T04:00:00Z These variables would be good candidates for analysis with linear regression. Introductory Statistics 2013-09-19T00:00:00Z Use linear regression to determine a function y, where the profit in thousands of dollars depends on the number of units sold in hundreds . Precalculus 2021-12-01T00:00:00Z Tracking error is calculated by a linear regression of the ETF's daily net asset value returns on the underlying index's daily total returns for the past six months. About the U.S. News ETF Rankings 2015-09-14T04:00:00Z Graph Pick a set of five ordered pairs using inputs and use linear regression to verify that the function is a good fit for the data. Algebra and Trigonometry 2015-02-13T00:00:00Z For each shift from 1 to 360°, linear regression was fit to the relationship between theta phase and the warped time. Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit : Nature : Nature Research 2017-03-28T04:00:00Z Describe the pattern in this scatter plot, and decide whether the X and Y variables would be good candidates for linear regression. Introductory Statistics 2013-09-19T00:00:00Z Use linear regression to determine a function y, where the profit in thousands of dollars depends on the number of units sold in hundreds . Precalculus 2021-12-01T00:00:00Z He’s good with Power Point and is comfortable throwing about phrases like “multivariate linear regression analysis.” Have Your Own Year of No Sugar 2014-04-21T16:26:38Z If so, and assuming the trend continues, find a linear regression model to predict the percent of unemployed in a given year to three decimal places. Algebra and Trigonometry 2015-02-13T00:00:00Z A restricted cubic spline regression model and a simple linear regression model were used to investigate the association between mitoflash activity and the lifespan. Mitoflash frequency in early adulthood predicts lifespan in Caenorhabditis elegans 2014-04-04T22:52:36.299Z Describe the pattern in this scatter plot, and decide whether the X and Y variables would be good candidates for linear regression. Introductory Statistics 2013-09-19T00:00:00Z For yeast, Arabidopsis, Drosophila, Xenopus and zebrafish samples, only the standards with tails of 10, 50 and 100 nucleotides were used in the linear regression. Poly(A)-tail profiling reveals an embryonic switch in translational control 2014-04-04T22:51:04.645Z If you’re a data whiz who prefers to view the popularity of stuff via linear regression rather than glowing reviews, then Graph TV is the perfect website for you. This Website Graphs The Popularity of TV Shows 2014-03-18T17:30:37Z Use linear regression to determine a function where the year depends on the population, to three decimal places of accuracy. Algebra and Trigonometry 2015-02-13T00:00:00Z The exponent coefficient assumes distances are exponentially distributed; the ranked distances are log-transformed and a linear regression fitted; this coefficient is the ‘exponent coefficient’. Genome-wide signatures of convergent evolution in echolocating mammals 2013-10-09T17:21:23.207Z Describe the pattern in this scatter plot, and decide whether the X and Y variables would be good candidates for linear regression. Introductory Statistics 2013-09-19T00:00:00Z As described in the original Article, slope and offset for scaling were calculated by linear regression based on an in-solution digest with spiked-in proteins of known concentrations. Corrigendum: Global quantification of mammalian gene expression control 2013-03-06T18:22:35.980Z The correlation between number of climates these species occupy and their composite scores was tested by linear regression. Metabolic Adaptation to Climate and Distribution of the Raccoon Procyon Lotor and Other Procyonidae 2011-05-07T02:00:34.980Z If so, and assuming the trend continues, find a linear regression model to predict the percent of unemployed in a given year to three decimal places. Algebra and Trigonometry 2015-02-13T00:00:00Z Wake Forest uses an integrated curriculum that weaves core concepts across multiple classes, meaning the linear regression we studied in Quantitative Methods is used in the problem set due for Managerial Economics the next week. 2010-01-11T15:41:00Z These variables would be good candidates for analysis with linear regression. Introductory Statistics 2013-09-19T00:00:00Z This line can be calculated through a process called linear regression. Introductory Statistics 2013-09-19T00:00:00Z Interpret the slope of the linear regression line in the context of the data in your project. Introductory Statistics 2013-09-19T00:00:00Z Use linear regression to determine a function y, where the year depends on the population. Algebra and Trigonometry 2015-02-13T00:00:00Z Use linear regression to determine a function where the year depends on the population. Algebra and Trigonometry 2015-02-13T00:00:00Z There is no clear linear relationship between the X and Y variables, so they are not good candidates for linear regression. Introductory Statistics 2013-09-19T00:00:00Z Use linear regression to determine a function y, where the profit in thousands of dollars depends on the number of units sold in hundreds. Algebra and Trigonometry 2015-02-13T00:00:00Z Use linear regression to determine a function y, where the profit in thousands of dollars depends on the number of units sold in hundreds. Algebra and Trigonometry 2015-02-13T00:00:00Z Use linear regression to determine a function where the profit in thousands of dollars depends on the number of units sold in hundreds. Algebra and Trigonometry 2015-02-13T00:00:00Z Graph Pick a set of five ordered pairs using inputs and use linear regression to verify the function. Algebra and Trigonometry 2015-02-13T00:00:00Z These variables are not good candidates for linear regression. Introductory Statistics 2013-09-19T00:00:00Z |
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