Pengaruh Citra Merek, Kualitas Pelayanan Dan Harga Terhadap Kepuasan Pelanggan Serta Implikasinya Pada Loyalitas Pelanggan PT Strait Liner Express Di Jakarta

Cakrawala Ekonomi dan Keuangan Pub Date : 2023-01-01 DOI:10.56070/cakrawala.v30i1.8

Henny Risnawati

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Abstract

Multicollinearity Test This test aims to determine whether there is a correlation for the independent variables in the regression model used. A good regression model is a regression model that is non-multicollinearity, meaning that between one independent variable and another in the regression model are not perfectly interconnected. The size of the correlation that is free of multicollinearity is 5 or can be measured through the tolerance value or VIF (Variance Inflation Factor) of each variable in the SPSS ver. 21.0 computer program, namely if the tolerance value is 1.0 or VIF 5, it indicates the presence of multicollinearity. 21.0, namely if the tolerance value is 1.0 or VIF 5, it indicates the presence of multicollinearity. SPSS output ver. 20.0 to explain whether there are symptoms of multicollinearity between independent variables. Autocorrelation Test The autocorrelation test aims to test whether in a linear regression model there is a correlation between confounding errors in period t and confounding errors in period t-1 (previous). The following are the results of the autocorrelation test using SPSS 20.0:

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品牌形象、服务质量和价格对客户满意度的影响及其对雅加达PT Strait Express客户忠诚度的影响

多重共线性检验该检验旨在确定所使用的回归模型中的自变量是否存在相关性。一个好的回归模型是一个非多重共线性的回归模型，这意味着回归模型中的一个自变量和另一个自变量之间并不是完全相互联系的。不存在多重共线性的相关性大小为5，或者可以通过SPSS ver中每个变量的容差值或VIF(方差膨胀因子)来测量。21.0计算机程序，即如果公差值为1.0或vif5，则表明存在多重共线性。21.0，即如果公差值为1.0或vif5，则表示存在多重共线性。SPSS输出。20.0解释自变量之间是否存在多重共线性的症状。自相关检验自相关检验的目的是检验在一个线性回归模型中，周期t的混杂误差与周期t-1(前)的混杂误差之间是否存在相关性。以下是使用SPSS 20.0进行自相关检验的结果:

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Cakrawala Ekonomi dan Keuangan

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