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what is tje dependent variable in the hypothesis . african american infants are more apt to...

what is tje dependent variable in the hypothesis . african american infants are more apt to be born underrweight than hispanic or asian american infants quizlet

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Expert Solution

The given hypothesis explains the body weight of infants in two different geographical regions. The dependant variable in a hypothesis will be one which varies according to some other factors. These factors are called independant variables. Independant variables are cotrolled coditions given in the experiment. In the given hypothetical condition, the dependant variable is body weight of the infants. This is because, it is the one which is dependant upon various other factors like biological or psychological variables in the mother from the two different geographical regions. Depression , anxiety etc of pregnant mother could affect body weight of the infant. Likewise socio- economic status of parents also may affect the weight of infant. While comparing the two regions , african america and asian america the economic status is different. A well economic status of parents will contributes to the better health of infant, thereby the normal body weight will be resulted. But the unemployment in poor geographical areas will affect the weight of new born by nutrient deficiency. So the weight of new borne varied between the geographical regions which differ in socio economic conditions. This can be one reason explains the hypothesis given. There are some other factors also which cause the difference in body weight. In all the cases, body weight of the infant is one which varies and depends upon other factors. Thus weight of new borne is the dependant varible, which vary with other variables discussed here.


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Dependent Variable: BVPS_FSC                                     &nbsp
Dependent Variable: BVPS_FSC                                           Method: Least Squares                                                Date: 07/25/18   Time: 12:06                                      Sample (adjusted): 4/01/1998 4/01/2013                                             Included observations: 15 after adjustments                                                                                         Variable           Coefficient       Std. Error        t-Statistic         Prob.                                                  C                     3.316771        5.621129         0.590054         0.5714 CET_FSC       0.013773         0.021733         0.633729         0.5439 CR_FSC         0.489317         3.034456         0.161254         0.8759 CTR_FSC       0.008914         0.008949         0.996106         0.3484 ROA_FSC      -2.286163        1.433001         -1.595368        0.1493 ROE_FSC       0.759472         0.474621         1.600166         0.1482 ROI_FSC        0.261457         0.198688         1.315919         0.2247                                                  R-squared                     0.360769            Mean dependent var           6.687333 Adjusted R-squared    -0.118654           S.D. dependent var             1.987921 S.E. of regression        2.102553            Akaike info criterion           4.628907 Sum squared resid       35.36584            Schwarz criterion                4.959330 Log likelihood           -27.71680             Hannan-Quinn criter.          4.625387 F-statistic                     0.752506             Durbin-Watson stat             0.637955 Prob(F-statistic)          0.625229                                  1. discuss in detail the above data
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