1. Wail
    3 years & 5 months ago

    Varibles entered / removed
    Model Varibles entered Varibles
    Removed method
    1 Event,
    Allowance . Enter
    a. All requested variables enterd dependent variable: motivation level
    b. Depent variable:mdv

    interpret ALL the SPSS outputs below as detail as possible Regression Analysis

    Model summary
    Model r R Square Adjusted R
    Square Std Error of the Estimate
    1 .669
    Allowance ..447 .440 .39184
    a. Predictors ( constant, events,allowance

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  2. Asaph
    3 years & 5 months ago

    Great post. Thank you

    Reply
  3. Shem Ngetha
    3 years & 8 months ago

    Source | SS df MS Number of obs = 13
    ————-+———————————- F(3, 9) = 0.62
    Model | 2.47305128 3 .824350427 Prob > F = 0.6188
    Residual | 11.9433999 9 1.32704444 R-squared = 0.1715
    ————-+———————————- Adj R-squared = -0.1046
    Total | 14.4164512 12 1.20137094 Root MSE = 1.152

    ———————————————————————————-
    Dperformance | Coef. Std. Err. t P>|t| [95% Conf. Interval]
    —————–+—————————————————————-
    Dcapitaladequacy | .0011134 .0048725 0.23 0.824 -.0099089 .0121357
    Ddeposits | -.0143361 .0113395 -1.26 0.238 -.0399878 .0113155
    Dquality | .0224043 .0182389 1.23 0.250 -.0188548 .0636635

    soemone help me interpret research variables

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  4. KB
    4 years & 1 week ago

    Thank you! this helps so much.

    Reply
  5. Habu Haruna
    4 years & 4 months ago

    The article was helpful

    Reply
  6. Rich Joseph
    4 years & 4 months ago

    Hi Riya,

    I read your post on the interpretation of regression results and I really learnt a lot from it.
    I commend you for the good work.

    I ‘d like to be under your mentorship

    Reply
  7. JOHN MANOHAR
    4 years & 6 months ago

    Ms. RIYA JAIN:

    Given below is a Regression Table arrived at after analyzing the data. The objective is to discuss the Perceptions and Expectations of online retail traders regarding the Service Quality from the e-broking firms.

    I am at a loss as to how interpret and conclude the findings.
    Table 5.2.37
    Regression Summary (N=384)

    Variables Regression Coefficients Std. Error t R2
    (Constant) 1.554 .145 10.735 .323
    Efficiency – X1. .002 .072 .028
    Fulfilment – X2. .011 .071 .150
    System Availability – X3. .325 .094 3.456
    Privacy – X4. .370 .060 6.162
    Responsiveness – X5. .120 .035 3.402
    Compensation – X6. -.448 .063 -7.078
    Contact – X7. 1.554 .145 10.735

    Could you please help me with this?

    Thanks in anticipation.

    Reply
  8. HABILA NUHU
    4 years & 11 months ago

    I find this article very helpful. now i know how to interpret thanks

    Reply
  9. Akibu
    4 years & 11 months ago

    Wonderful interpretation.

    Reply
  10. Aragieamanu
    4 years & 11 months ago

    Thanks

    Reply