Mathematics, 23.05.2020 06:01 michael4443
Drag the tiles to the correct boxes to complete the pairs. Not all tiles will be used.
Match each pair of points with the approximate distance between the. Round your answer to the nearest tenth.
A.5.1 units
B.7.07 units
C.2 units
D.2.83 units
E.5.39 units
F.13.15 units
G.12.5 units
(3,-1) and (5, 4)
(2, 3) and (4,5)
(-5, 7) and (8,5)
(-2, 4) and (3,-1)
Answers: 1
Mathematics, 21.06.2019 17:00
Acylinder has volume 45Ο and radius 3. what is itβs height?
Answers: 2
Mathematics, 21.06.2019 17:20
Given: hf || jk; hg ? jg prove: fhg ? kjg to prove that the triangles are congruent by asa, which statement and reason could be used as part of the proof? fgh ? kgj because vertical angles are congruent. jkg ? hfg because vertical angles are congruent. fhg ? jkg because right angles are congruent. hfg ? kjg because alternate interior angles are congruent.
Answers: 1
Mathematics, 22.06.2019 01:20
Aprobability experiment is conducted in which the sample space of the experiment is s={7,8,9,10,11,12,13,14,15,16,17,18}, event f={7,8,9,10,11,12}, and event g={11,12,13,14}. assume that each outcome is equally likely. list the outcomes in f or g. find p(f or g) by counting the number of outcomes in f or g. determine p(f or g) using the general addition rule.
Answers: 2
Mathematics, 22.06.2019 02:00
1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?
Answers: 2
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